Handwriting Recognition: Soft Computing and Probabilistic Approaches
Over the last few decades, research on handwriting recognition has made impressive progress. The research and development on handwritten word recognition are to a large degree motivated by many application areas, such as automated postal address and code reading, data acquisition in banks, text-voic...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2003
|
| Schriftenreihe: | Studies in Fuzziness and Soft Computing
133 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | Over the last few decades, research on handwriting recognition has made impressive progress. The research and development on handwritten word recognition are to a large degree motivated by many application areas, such as automated postal address and code reading, data acquisition in banks, text-voice conversion, security, etc. As the prices of scanners, com puters and handwriting-input devices are falling steadily, we have seen an increased demand for handwriting recognition systems and software pack ages. Some commercial handwriting recognition systems are now available in the market. Current commercial systems have an impressive performance in recognizing machine-printed characters and neatly written texts. For in stance, High-Tech Solutions in Israel has developed several products for container ID recognition, car license plate recognition and package label recognition. Xerox in the U. S. has developed TextBridge for converting hardcopy documents into electronic document files. In spite of the impressive progress, there is still a significant perfor mance gap between the human and the machine in recognizing off-line unconstrained handwritten characters and words. The difficulties encoun tered in recognizing unconstrained handwritings are mainly caused by huge variations in writing styles and the overlapping and the interconnection of neighboring characters. Furthermore, many applications demand very high recognition accuracy and reliability. For example, in the banking sector, although automated teller machines (ATMs) and networked banking sys tems are now widely available, many transactions are still carried out in the form of cheques |
| Beschreibung: | 1 Online-Ressource (XV, 230 p) |
| ISBN: | 9783540448501 |
| DOI: | 10.1007/978-3-540-44850-1 |
Internformat
MARC
| LEADER | 00000nmm a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV045149213 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 180827s2003 |||| o||u| ||||||eng d | ||
| 020 | |a 9783540448501 |9 978-3-540-44850-1 | ||
| 024 | 7 | |a 10.1007/978-3-540-44850-1 |2 doi | |
| 035 | |a (ZDB-2-ENG)978-3-540-44850-1 | ||
| 035 | |a (OCoLC)1050935380 | ||
| 035 | |a (DE-599)BVBBV045149213 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-573 |a DE-634 | ||
| 082 | 0 | |a 006.3 |2 23 | |
| 100 | 1 | |a Liu, Zhi-Qiang |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Handwriting Recognition |b Soft Computing and Probabilistic Approaches |c by Zhi-Qiang Liu, Jinhai Cai, Richard Buse |
| 264 | 1 | |a Berlin, Heidelberg |b Springer Berlin Heidelberg |c 2003 | |
| 300 | |a 1 Online-Ressource (XV, 230 p) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Studies in Fuzziness and Soft Computing |v 133 | |
| 520 | |a Over the last few decades, research on handwriting recognition has made impressive progress. The research and development on handwritten word recognition are to a large degree motivated by many application areas, such as automated postal address and code reading, data acquisition in banks, text-voice conversion, security, etc. As the prices of scanners, com puters and handwriting-input devices are falling steadily, we have seen an increased demand for handwriting recognition systems and software pack ages. Some commercial handwriting recognition systems are now available in the market. Current commercial systems have an impressive performance in recognizing machine-printed characters and neatly written texts. For in stance, High-Tech Solutions in Israel has developed several products for container ID recognition, car license plate recognition and package label recognition. Xerox in the U. S. has developed TextBridge for converting hardcopy documents into electronic document files. In spite of the impressive progress, there is still a significant perfor mance gap between the human and the machine in recognizing off-line unconstrained handwritten characters and words. The difficulties encoun tered in recognizing unconstrained handwritings are mainly caused by huge variations in writing styles and the overlapping and the interconnection of neighboring characters. Furthermore, many applications demand very high recognition accuracy and reliability. For example, in the banking sector, although automated teller machines (ATMs) and networked banking sys tems are now widely available, many transactions are still carried out in the form of cheques | ||
| 650 | 4 | |a Computer Science | |
| 650 | 4 | |a Artificial Intelligence (incl. Robotics) | |
| 650 | 4 | |a Learning & Instruction | |
| 650 | 4 | |a Pattern Recognition | |
| 650 | 4 | |a Document Preparation and Text Processing | |
| 650 | 4 | |a Applications of Mathematics | |
| 650 | 4 | |a Complexity | |
| 650 | 4 | |a Computer science | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Text processing (Computer science) | |
| 650 | 4 | |a Pattern recognition | |
| 650 | 4 | |a Applied mathematics | |
| 650 | 4 | |a Engineering mathematics | |
| 650 | 4 | |a Complexity, Computational | |
| 650 | 0 | 7 | |a Schriftzeichenerkennung |0 (DE-588)4130728-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Fuzzy-Logik |0 (DE-588)4341284-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Markov-Zufallsfeld |0 (DE-588)4168933-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Merkmalsextraktion |0 (DE-588)4314440-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Handschrift |g Grafologie |0 (DE-588)4113845-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Markov-Modell |0 (DE-588)4168923-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Soft Computing |0 (DE-588)4455833-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Automatische Worterkennung |0 (DE-588)4208074-5 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Handschrift |g Grafologie |0 (DE-588)4113845-4 |D s |
| 689 | 0 | 1 | |a Automatische Worterkennung |0 (DE-588)4208074-5 |D s |
| 689 | 0 | 2 | |a Merkmalsextraktion |0 (DE-588)4314440-8 |D s |
| 689 | 0 | 3 | |a Markov-Modell |0 (DE-588)4168923-9 |D s |
| 689 | 0 | 4 | |a Markov-Zufallsfeld |0 (DE-588)4168933-1 |D s |
| 689 | 0 | 5 | |a Fuzzy-Logik |0 (DE-588)4341284-1 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 689 | 1 | 0 | |a Handschrift |g Grafologie |0 (DE-588)4113845-4 |D s |
| 689 | 1 | 1 | |a Schriftzeichenerkennung |0 (DE-588)4130728-8 |D s |
| 689 | 1 | 2 | |a Merkmalsextraktion |0 (DE-588)4314440-8 |D s |
| 689 | 1 | 3 | |a Markov-Modell |0 (DE-588)4168923-9 |D s |
| 689 | 1 | 4 | |a Markov-Zufallsfeld |0 (DE-588)4168933-1 |D s |
| 689 | 1 | 5 | |a Soft Computing |0 (DE-588)4455833-8 |D s |
| 689 | 1 | |8 2\p |5 DE-604 | |
| 700 | 1 | |a Cai, Jinhai |4 aut | |
| 700 | 1 | |a Buse, Richard |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9783642072802 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-540-44850-1 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-2-ENG | ||
| 940 | 1 | |q ZDB-2-ENG_2000/2004 | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030538912 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 2\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 966 | e | |u https://doi.org/10.1007/978-3-540-44850-1 |l FHI01 |p ZDB-2-ENG |q ZDB-2-ENG_2000/2004 |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-540-44850-1 |l BTU01 |p ZDB-2-ENG |q ZDB-2-ENG_Archiv |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804178820603838464 |
|---|---|
| any_adam_object | |
| author | Liu, Zhi-Qiang Cai, Jinhai Buse, Richard |
| author_facet | Liu, Zhi-Qiang Cai, Jinhai Buse, Richard |
| author_role | aut aut aut |
| author_sort | Liu, Zhi-Qiang |
| author_variant | z q l zql j c jc r b rb |
| building | Verbundindex |
| bvnumber | BV045149213 |
| collection | ZDB-2-ENG |
| ctrlnum | (ZDB-2-ENG)978-3-540-44850-1 (OCoLC)1050935380 (DE-599)BVBBV045149213 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-540-44850-1 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>05263nmm a2200865zcb4500</leader><controlfield tag="001">BV045149213</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">180827s2003 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783540448501</subfield><subfield code="9">978-3-540-44850-1</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-3-540-44850-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-ENG)978-3-540-44850-1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1050935380</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045149213</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-573</subfield><subfield code="a">DE-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Liu, Zhi-Qiang</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Handwriting Recognition</subfield><subfield code="b">Soft Computing and Probabilistic Approaches</subfield><subfield code="c">by Zhi-Qiang Liu, Jinhai Cai, Richard Buse</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin, Heidelberg</subfield><subfield code="b">Springer Berlin Heidelberg</subfield><subfield code="c">2003</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XV, 230 p)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Studies in Fuzziness and Soft Computing</subfield><subfield code="v">133</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Over the last few decades, research on handwriting recognition has made impressive progress. The research and development on handwritten word recognition are to a large degree motivated by many application areas, such as automated postal address and code reading, data acquisition in banks, text-voice conversion, security, etc. As the prices of scanners, com puters and handwriting-input devices are falling steadily, we have seen an increased demand for handwriting recognition systems and software pack ages. Some commercial handwriting recognition systems are now available in the market. Current commercial systems have an impressive performance in recognizing machine-printed characters and neatly written texts. For in stance, High-Tech Solutions in Israel has developed several products for container ID recognition, car license plate recognition and package label recognition. Xerox in the U. S. has developed TextBridge for converting hardcopy documents into electronic document files. In spite of the impressive progress, there is still a significant perfor mance gap between the human and the machine in recognizing off-line unconstrained handwritten characters and words. The difficulties encoun tered in recognizing unconstrained handwritings are mainly caused by huge variations in writing styles and the overlapping and the interconnection of neighboring characters. Furthermore, many applications demand very high recognition accuracy and reliability. For example, in the banking sector, although automated teller machines (ATMs) and networked banking sys tems are now widely available, many transactions are still carried out in the form of cheques</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer Science</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence (incl. Robotics)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Learning & Instruction</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pattern Recognition</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Document Preparation and Text Processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Applications of Mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Complexity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer science</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Text processing (Computer science)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pattern recognition</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Applied mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Engineering mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Complexity, Computational</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Schriftzeichenerkennung</subfield><subfield code="0">(DE-588)4130728-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Fuzzy-Logik</subfield><subfield code="0">(DE-588)4341284-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Markov-Zufallsfeld</subfield><subfield code="0">(DE-588)4168933-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Merkmalsextraktion</subfield><subfield code="0">(DE-588)4314440-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Handschrift</subfield><subfield code="g">Grafologie</subfield><subfield code="0">(DE-588)4113845-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Markov-Modell</subfield><subfield code="0">(DE-588)4168923-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Soft Computing</subfield><subfield code="0">(DE-588)4455833-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Automatische Worterkennung</subfield><subfield code="0">(DE-588)4208074-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Handschrift</subfield><subfield code="g">Grafologie</subfield><subfield code="0">(DE-588)4113845-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Automatische Worterkennung</subfield><subfield code="0">(DE-588)4208074-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Merkmalsextraktion</subfield><subfield code="0">(DE-588)4314440-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Markov-Modell</subfield><subfield code="0">(DE-588)4168923-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">Markov-Zufallsfeld</subfield><subfield code="0">(DE-588)4168933-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="5"><subfield code="a">Fuzzy-Logik</subfield><subfield code="0">(DE-588)4341284-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Handschrift</subfield><subfield code="g">Grafologie</subfield><subfield code="0">(DE-588)4113845-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Schriftzeichenerkennung</subfield><subfield code="0">(DE-588)4130728-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="2"><subfield code="a">Merkmalsextraktion</subfield><subfield code="0">(DE-588)4314440-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="3"><subfield code="a">Markov-Modell</subfield><subfield code="0">(DE-588)4168923-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="4"><subfield code="a">Markov-Zufallsfeld</subfield><subfield code="0">(DE-588)4168933-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="5"><subfield code="a">Soft Computing</subfield><subfield code="0">(DE-588)4455833-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cai, Jinhai</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Buse, Richard</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9783642072802</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-3-540-44850-1</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-ENG</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-ENG_2000/2004</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030538912</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-540-44850-1</subfield><subfield code="l">FHI01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="q">ZDB-2-ENG_2000/2004</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-540-44850-1</subfield><subfield code="l">BTU01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="q">ZDB-2-ENG_Archiv</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV045149213 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:03Z |
| institution | BVB |
| isbn | 9783540448501 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030538912 |
| oclc_num | 1050935380 |
| open_access_boolean | |
| owner | DE-573 DE-634 |
| owner_facet | DE-573 DE-634 |
| physical | 1 Online-Ressource (XV, 230 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_Archiv |
| publishDate | 2003 |
| publishDateSearch | 2003 |
| publishDateSort | 2003 |
| publisher | Springer Berlin Heidelberg |
| record_format | marc |
| series2 | Studies in Fuzziness and Soft Computing |
| spelling | Liu, Zhi-Qiang Verfasser aut Handwriting Recognition Soft Computing and Probabilistic Approaches by Zhi-Qiang Liu, Jinhai Cai, Richard Buse Berlin, Heidelberg Springer Berlin Heidelberg 2003 1 Online-Ressource (XV, 230 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 133 Over the last few decades, research on handwriting recognition has made impressive progress. The research and development on handwritten word recognition are to a large degree motivated by many application areas, such as automated postal address and code reading, data acquisition in banks, text-voice conversion, security, etc. As the prices of scanners, com puters and handwriting-input devices are falling steadily, we have seen an increased demand for handwriting recognition systems and software pack ages. Some commercial handwriting recognition systems are now available in the market. Current commercial systems have an impressive performance in recognizing machine-printed characters and neatly written texts. For in stance, High-Tech Solutions in Israel has developed several products for container ID recognition, car license plate recognition and package label recognition. Xerox in the U. S. has developed TextBridge for converting hardcopy documents into electronic document files. In spite of the impressive progress, there is still a significant perfor mance gap between the human and the machine in recognizing off-line unconstrained handwritten characters and words. The difficulties encoun tered in recognizing unconstrained handwritings are mainly caused by huge variations in writing styles and the overlapping and the interconnection of neighboring characters. Furthermore, many applications demand very high recognition accuracy and reliability. For example, in the banking sector, although automated teller machines (ATMs) and networked banking sys tems are now widely available, many transactions are still carried out in the form of cheques Computer Science Artificial Intelligence (incl. Robotics) Learning & Instruction Pattern Recognition Document Preparation and Text Processing Applications of Mathematics Complexity Computer science Artificial intelligence Text processing (Computer science) Pattern recognition Applied mathematics Engineering mathematics Complexity, Computational Schriftzeichenerkennung (DE-588)4130728-8 gnd rswk-swf Fuzzy-Logik (DE-588)4341284-1 gnd rswk-swf Markov-Zufallsfeld (DE-588)4168933-1 gnd rswk-swf Merkmalsextraktion (DE-588)4314440-8 gnd rswk-swf Handschrift Grafologie (DE-588)4113845-4 gnd rswk-swf Markov-Modell (DE-588)4168923-9 gnd rswk-swf Soft Computing (DE-588)4455833-8 gnd rswk-swf Automatische Worterkennung (DE-588)4208074-5 gnd rswk-swf Handschrift Grafologie (DE-588)4113845-4 s Automatische Worterkennung (DE-588)4208074-5 s Merkmalsextraktion (DE-588)4314440-8 s Markov-Modell (DE-588)4168923-9 s Markov-Zufallsfeld (DE-588)4168933-1 s Fuzzy-Logik (DE-588)4341284-1 s 1\p DE-604 Schriftzeichenerkennung (DE-588)4130728-8 s Soft Computing (DE-588)4455833-8 s 2\p DE-604 Cai, Jinhai aut Buse, Richard aut Erscheint auch als Druck-Ausgabe 9783642072802 https://doi.org/10.1007/978-3-540-44850-1 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Liu, Zhi-Qiang Cai, Jinhai Buse, Richard Handwriting Recognition Soft Computing and Probabilistic Approaches Computer Science Artificial Intelligence (incl. Robotics) Learning & Instruction Pattern Recognition Document Preparation and Text Processing Applications of Mathematics Complexity Computer science Artificial intelligence Text processing (Computer science) Pattern recognition Applied mathematics Engineering mathematics Complexity, Computational Schriftzeichenerkennung (DE-588)4130728-8 gnd Fuzzy-Logik (DE-588)4341284-1 gnd Markov-Zufallsfeld (DE-588)4168933-1 gnd Merkmalsextraktion (DE-588)4314440-8 gnd Handschrift Grafologie (DE-588)4113845-4 gnd Markov-Modell (DE-588)4168923-9 gnd Soft Computing (DE-588)4455833-8 gnd Automatische Worterkennung (DE-588)4208074-5 gnd |
| subject_GND | (DE-588)4130728-8 (DE-588)4341284-1 (DE-588)4168933-1 (DE-588)4314440-8 (DE-588)4113845-4 (DE-588)4168923-9 (DE-588)4455833-8 (DE-588)4208074-5 |
| title | Handwriting Recognition Soft Computing and Probabilistic Approaches |
| title_auth | Handwriting Recognition Soft Computing and Probabilistic Approaches |
| title_exact_search | Handwriting Recognition Soft Computing and Probabilistic Approaches |
| title_full | Handwriting Recognition Soft Computing and Probabilistic Approaches by Zhi-Qiang Liu, Jinhai Cai, Richard Buse |
| title_fullStr | Handwriting Recognition Soft Computing and Probabilistic Approaches by Zhi-Qiang Liu, Jinhai Cai, Richard Buse |
| title_full_unstemmed | Handwriting Recognition Soft Computing and Probabilistic Approaches by Zhi-Qiang Liu, Jinhai Cai, Richard Buse |
| title_short | Handwriting Recognition |
| title_sort | handwriting recognition soft computing and probabilistic approaches |
| title_sub | Soft Computing and Probabilistic Approaches |
| topic | Computer Science Artificial Intelligence (incl. Robotics) Learning & Instruction Pattern Recognition Document Preparation and Text Processing Applications of Mathematics Complexity Computer science Artificial intelligence Text processing (Computer science) Pattern recognition Applied mathematics Engineering mathematics Complexity, Computational Schriftzeichenerkennung (DE-588)4130728-8 gnd Fuzzy-Logik (DE-588)4341284-1 gnd Markov-Zufallsfeld (DE-588)4168933-1 gnd Merkmalsextraktion (DE-588)4314440-8 gnd Handschrift Grafologie (DE-588)4113845-4 gnd Markov-Modell (DE-588)4168923-9 gnd Soft Computing (DE-588)4455833-8 gnd Automatische Worterkennung (DE-588)4208074-5 gnd |
| topic_facet | Computer Science Artificial Intelligence (incl. Robotics) Learning & Instruction Pattern Recognition Document Preparation and Text Processing Applications of Mathematics Complexity Computer science Artificial intelligence Text processing (Computer science) Pattern recognition Applied mathematics Engineering mathematics Complexity, Computational Schriftzeichenerkennung Fuzzy-Logik Markov-Zufallsfeld Merkmalsextraktion Handschrift Grafologie Markov-Modell Soft Computing Automatische Worterkennung |
| url | https://doi.org/10.1007/978-3-540-44850-1 |
| work_keys_str_mv | AT liuzhiqiang handwritingrecognitionsoftcomputingandprobabilisticapproaches AT caijinhai handwritingrecognitionsoftcomputingandprobabilisticapproaches AT buserichard handwritingrecognitionsoftcomputingandprobabilisticapproaches |