Guide to Biometric Reference Systems and Performance Evaluation:
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Springer London
2009
|
| Ausgabe: | 1st ed. 2009 |
| Schlagworte: | |
| Online-Zugang: | DE-355 Volltext |
| Beschreibung: | 1 Online-Ressource (XXX, 382 Seiten 146 illus., 15 illus. in color.) |
| ISBN: | 9781848002920 |
| DOI: | 10.1007/978-1-84800-292-0 |
Internformat
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| 245 | 1 | 0 | |a Guide to Biometric Reference Systems and Performance Evaluation |c edited by Dijana Petrovska-Delacrétaz, Gérard Chollet, Bernadette Dorizzi |
| 250 | |a 1st ed. 2009 | ||
| 264 | 1 | |a London |b Springer London |c 2009 | |
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| 505 | 8 | |a Our daily interactions are based on recognizing people. As information technology advances, our interactions will be accomplished through newly designed interfaces, with a vital element being the automated process of recognition of a person's real identity: Biometrics. In recent years, biometrics has moved from using fingerprints, to many different methods of assessing human physical and behavioural traits. This useful guide introduces a new performance evaluation framework designed to provide complete coverage of performance evaluation of major biometric systems. Two key areas are presented: The first gives a unique snapshot of the performance evaluation of various biometrics within a common evaluation framework (databases and protocols). The second presents a state-of-the-art benchmarking evaluation framework for use in future performance evaluations - comprised of open-source reference systems. Features and benefits: • Includes a Foreword by renowned biometric expert Prof. | |
| 505 | 8 | |a Anil K. | |
| 505 | 8 | |a Jain, Michigan State University, USA • Introduces the concept of reproducible results and comparative evaluations • Presents an extensive benchmarking methodology • Describes reference algorithms in detail, with a link to source code • Biometrics Reference and Evaluation Toolkit provided via http://share.int-evry.fr/svnview-eph/ • Implements this methodology throughout all chapters • Offers readers a tool for a better evaluation of their algorithms by giving them the instruments to fully reproduce the benchmarking (reference) experiments (software, database, experimental protocols) • Provides a global perspective with a common evaluation scheme and methodology • Examines current research results with this framework • Consolidates results from publicly available databases, using well defined protocols This unique text/reference combines state-of-the-artresearch with practical tools for researchers, | |
| 505 | 8 | |a practitioners and graduates in the field of Biometrics and Pattern Recognition, and with its comprehensive coverage, it will prove an indispensable resource and frequently used tool. Key topics BioSecure Benchmarking Methodology Biometric Performance Evaluation Iris Recognition Fingerprint Recognition Hand Recognition Online Handwritten Signature Verification Text-independent Speaker Verification 2D and 3D Face Recognition Talking Face Verification | |
| 650 | 4 | |a Automated Pattern Recognition | |
| 650 | 4 | |a Biometrics | |
| 650 | 4 | |a Computer Imaging, Vision, Pattern Recognition and Graphics | |
| 650 | 4 | |a Pattern recognition systems | |
| 650 | 4 | |a Biometric identification | |
| 650 | 4 | |a Image processing / Digital techniques | |
| 650 | 4 | |a Computer vision | |
| 700 | 1 | |a Petrovska-Delacrétaz, Dijana |4 edt | |
| 700 | 1 | |a Chollet, Gérard |4 edt | |
| 700 | 1 | |a Dorizzi, Bernadette |4 edt | |
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Datensatz im Suchindex
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| contents | Our daily interactions are based on recognizing people. As information technology advances, our interactions will be accomplished through newly designed interfaces, with a vital element being the automated process of recognition of a person's real identity: Biometrics. In recent years, biometrics has moved from using fingerprints, to many different methods of assessing human physical and behavioural traits. This useful guide introduces a new performance evaluation framework designed to provide complete coverage of performance evaluation of major biometric systems. Two key areas are presented: The first gives a unique snapshot of the performance evaluation of various biometrics within a common evaluation framework (databases and protocols). The second presents a state-of-the-art benchmarking evaluation framework for use in future performance evaluations - comprised of open-source reference systems. Features and benefits: • Includes a Foreword by renowned biometric expert Prof. Anil K. Jain, Michigan State University, USA • Introduces the concept of reproducible results and comparative evaluations • Presents an extensive benchmarking methodology • Describes reference algorithms in detail, with a link to source code • Biometrics Reference and Evaluation Toolkit provided via http://share.int-evry.fr/svnview-eph/ • Implements this methodology throughout all chapters • Offers readers a tool for a better evaluation of their algorithms by giving them the instruments to fully reproduce the benchmarking (reference) experiments (software, database, experimental protocols) • Provides a global perspective with a common evaluation scheme and methodology • Examines current research results with this framework • Consolidates results from publicly available databases, using well defined protocols This unique text/reference combines state-of-the-artresearch with practical tools for researchers, practitioners and graduates in the field of Biometrics and Pattern Recognition, and with its comprehensive coverage, it will prove an indispensable resource and frequently used tool. Key topics BioSecure Benchmarking Methodology Biometric Performance Evaluation Iris Recognition Fingerprint Recognition Hand Recognition Online Handwritten Signature Verification Text-independent Speaker Verification 2D and 3D Face Recognition Talking Face Verification |
| ctrlnum | (ZDB-2-SCS)978-1-84800-292-0 (OCoLC)1492133695 (DE-599)BVBBV050122737 |
| dewey-full | 006.4 |
| dewey-hundreds | 000 - Computer science, information, general works |
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| dewey-search | 006.4 |
| dewey-sort | 16.4 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-1-84800-292-0 |
| edition | 1st ed. 2009 |
| format | Electronic eBook |
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| isbn | 9781848002920 |
| language | English |
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| spelling | Guide to Biometric Reference Systems and Performance Evaluation edited by Dijana Petrovska-Delacrétaz, Gérard Chollet, Bernadette Dorizzi 1st ed. 2009 London Springer London 2009 1 Online-Ressource (XXX, 382 Seiten 146 illus., 15 illus. in color.) txt rdacontent c rdamedia cr rdacarrier Our daily interactions are based on recognizing people. As information technology advances, our interactions will be accomplished through newly designed interfaces, with a vital element being the automated process of recognition of a person's real identity: Biometrics. In recent years, biometrics has moved from using fingerprints, to many different methods of assessing human physical and behavioural traits. This useful guide introduces a new performance evaluation framework designed to provide complete coverage of performance evaluation of major biometric systems. Two key areas are presented: The first gives a unique snapshot of the performance evaluation of various biometrics within a common evaluation framework (databases and protocols). The second presents a state-of-the-art benchmarking evaluation framework for use in future performance evaluations - comprised of open-source reference systems. Features and benefits: • Includes a Foreword by renowned biometric expert Prof. Anil K. Jain, Michigan State University, USA • Introduces the concept of reproducible results and comparative evaluations • Presents an extensive benchmarking methodology • Describes reference algorithms in detail, with a link to source code • Biometrics Reference and Evaluation Toolkit provided via http://share.int-evry.fr/svnview-eph/ • Implements this methodology throughout all chapters • Offers readers a tool for a better evaluation of their algorithms by giving them the instruments to fully reproduce the benchmarking (reference) experiments (software, database, experimental protocols) • Provides a global perspective with a common evaluation scheme and methodology • Examines current research results with this framework • Consolidates results from publicly available databases, using well defined protocols This unique text/reference combines state-of-the-artresearch with practical tools for researchers, practitioners and graduates in the field of Biometrics and Pattern Recognition, and with its comprehensive coverage, it will prove an indispensable resource and frequently used tool. Key topics BioSecure Benchmarking Methodology Biometric Performance Evaluation Iris Recognition Fingerprint Recognition Hand Recognition Online Handwritten Signature Verification Text-independent Speaker Verification 2D and 3D Face Recognition Talking Face Verification Automated Pattern Recognition Biometrics Computer Imaging, Vision, Pattern Recognition and Graphics Pattern recognition systems Biometric identification Image processing / Digital techniques Computer vision Petrovska-Delacrétaz, Dijana edt Chollet, Gérard edt Dorizzi, Bernadette edt Erscheint auch als Druck-Ausgabe 9781848002913 Erscheint auch als Druck-Ausgabe 9781848823075 Erscheint auch als Druck-Ausgabe 9781849967716 https://doi.org/10.1007/978-1-84800-292-0 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Guide to Biometric Reference Systems and Performance Evaluation Our daily interactions are based on recognizing people. As information technology advances, our interactions will be accomplished through newly designed interfaces, with a vital element being the automated process of recognition of a person's real identity: Biometrics. In recent years, biometrics has moved from using fingerprints, to many different methods of assessing human physical and behavioural traits. This useful guide introduces a new performance evaluation framework designed to provide complete coverage of performance evaluation of major biometric systems. Two key areas are presented: The first gives a unique snapshot of the performance evaluation of various biometrics within a common evaluation framework (databases and protocols). The second presents a state-of-the-art benchmarking evaluation framework for use in future performance evaluations - comprised of open-source reference systems. Features and benefits: • Includes a Foreword by renowned biometric expert Prof. Anil K. Jain, Michigan State University, USA • Introduces the concept of reproducible results and comparative evaluations • Presents an extensive benchmarking methodology • Describes reference algorithms in detail, with a link to source code • Biometrics Reference and Evaluation Toolkit provided via http://share.int-evry.fr/svnview-eph/ • Implements this methodology throughout all chapters • Offers readers a tool for a better evaluation of their algorithms by giving them the instruments to fully reproduce the benchmarking (reference) experiments (software, database, experimental protocols) • Provides a global perspective with a common evaluation scheme and methodology • Examines current research results with this framework • Consolidates results from publicly available databases, using well defined protocols This unique text/reference combines state-of-the-artresearch with practical tools for researchers, practitioners and graduates in the field of Biometrics and Pattern Recognition, and with its comprehensive coverage, it will prove an indispensable resource and frequently used tool. Key topics BioSecure Benchmarking Methodology Biometric Performance Evaluation Iris Recognition Fingerprint Recognition Hand Recognition Online Handwritten Signature Verification Text-independent Speaker Verification 2D and 3D Face Recognition Talking Face Verification Automated Pattern Recognition Biometrics Computer Imaging, Vision, Pattern Recognition and Graphics Pattern recognition systems Biometric identification Image processing / Digital techniques Computer vision |
| title | Guide to Biometric Reference Systems and Performance Evaluation |
| title_auth | Guide to Biometric Reference Systems and Performance Evaluation |
| title_exact_search | Guide to Biometric Reference Systems and Performance Evaluation |
| title_full | Guide to Biometric Reference Systems and Performance Evaluation edited by Dijana Petrovska-Delacrétaz, Gérard Chollet, Bernadette Dorizzi |
| title_fullStr | Guide to Biometric Reference Systems and Performance Evaluation edited by Dijana Petrovska-Delacrétaz, Gérard Chollet, Bernadette Dorizzi |
| title_full_unstemmed | Guide to Biometric Reference Systems and Performance Evaluation edited by Dijana Petrovska-Delacrétaz, Gérard Chollet, Bernadette Dorizzi |
| title_short | Guide to Biometric Reference Systems and Performance Evaluation |
| title_sort | guide to biometric reference systems and performance evaluation |
| topic | Automated Pattern Recognition Biometrics Computer Imaging, Vision, Pattern Recognition and Graphics Pattern recognition systems Biometric identification Image processing / Digital techniques Computer vision |
| topic_facet | Automated Pattern Recognition Biometrics Computer Imaging, Vision, Pattern Recognition and Graphics Pattern recognition systems Biometric identification Image processing / Digital techniques Computer vision |
| url | https://doi.org/10.1007/978-1-84800-292-0 |
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