Off-line cursive handwritten word recognition using hidden Markov models and multiple classifier combination:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Aachen
Shaker
2003
|
| Schriftenreihe: | Berichte aus der Informationstechnik
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Zugl.: Duisburg, Univ., Diss., 2002 |
| Beschreibung: | XIV, 132 S. graph. Darst. : 21 cm, 213 gr. |
| ISBN: | 3832216901 |
Internformat
MARC
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| 049 | |a DE-91 | ||
| 100 | 1 | |a Wang, Wenwei |d 1966- |e Verfasser |0 (DE-588)124885004 |4 aut | |
| 245 | 1 | 0 | |a Off-line cursive handwritten word recognition using hidden Markov models and multiple classifier combination |c Wenwei Wang |
| 264 | 1 | |a Aachen |b Shaker |c 2003 | |
| 300 | |a XIV, 132 S. |b graph. Darst. : 21 cm, 213 gr. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Berichte aus der Informationstechnik | |
| 500 | |a Zugl.: Duisburg, Univ., Diss., 2002 | ||
| 650 | 0 | 7 | |a Kursive |0 (DE-588)4166218-0 |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 |
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| 856 | 4 | 2 | |m DNB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010469725&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-010469725 | |
Datensatz im Suchindex
| _version_ | 1808044712327643136 |
|---|---|
| adam_text |
CONTENTS
ACKNOWLEDGEMENTS
III
ABSTRACT
XIII
1
INTRODUCTION
1
1.1
HANDWRITING
RECOGNITION
.
1
1.2
PROBLEMS
OF
OFF-LINE
HANDWRITING
RECOGNITION
.
2
1.3
TECHNIQUES
TO
SOLVE
THE
OFF-LINE
HANDWRITING
RECOGNITION
.
4
1.3.1
HIDDEN
MARKOV
MODELS
.
5
1.3.2
MULTIPLE
CLASSIFIER
COMBINATION
.
6
1.4
TOTAL
ORGANIZATION
OF
THE
THESIS
.
6
2
PROBLEM
DESCRIPTION
AND
SYSTEM
DESIGN
OVERVIEW
9
2.1
CATEGORIES
OF
HANDWRITING
AND
HANDWRITING
RECOGNITION
.
9
2.1.1
CATEGORIES
OF
HANDWRITING
.
10
2.1.2
WRITER
DEPENDENT
OR
WRITER
INDEPENDENT
RECOGNITION
.
11
2.1.3
LIMITED
VOCABULARY
AND
UNLIMITED
VOCABULARY
.
11
2.2
PROBLEM
AREA
OF
THIS
THESIS
.
12
2.3
EXISTING
STRATEGIES
FOR
HANDWRITTEN
WORD
RECOGNITION
.
13
2.3.1
SEGMENTATION-EXPLICIT
ANALYTICAL
APPROACHES
.
14
2.3.2
SEGMENTATION-IMPLICIT
ANALYTICAL
APPROACHES
.
15
2.4
OVERVIEW
OF
THE
HANDWRITTEN
WORDS
RECOGNITION
SYSTEM
.
16
2.4.1
PAGE
LEVEL
PREPROCESSING
.
17
2.4.2
WORD
LEVEL
PREPROCESSING
.
18
2.4.3
FEATURE
EXTRACTION
.
18
VI
CONTENTS
2.4.4
HMM
TRAINING
AND
RECOGNITION
.
18
2.5
MEASUREMENT
OF
SYSTEM
PERFORMANCE
.
19
3
HMM-BASED
STATISTICAL
PATTERN
RECOGNITION
21
3.1
CHARACTER
RECOGNITION
WITH
STATISTICAL
METHODS
.
21
3.1.1
SIMPLE
PATTERN
AND
COMPLEX
PATTERN
.
22
3.1.2
CHARACTER
IMAGE
REPRESENTATION
.
23
3.1.3
LEARNING
CLASSIFICATION
BY
EXAMPLES
.
24
3.2
DISCRIMINANT
FUNCTION
BASED
DECISION
MAKING
.
25
3.2.1
DISTANCE-BASED
CLASSIFIERS
.
25
3.2.1.1
EUCLIDEAN
MINIMUM
DISTANCE
CLASSIFIER
.
26
3.2.1.2
NEAREST
NEIGHBOR
CLASSIFIERS
.
26
3.2.2
PROBABILITY-BASED
CLASSIFIERS
.
26
3.2.3
NEURAL
NETWORK
CLASSIFIERS
.
28
3.3
SEQUENTIAL
DYNAMIC
PATTERN
RECOGNITION
.
29
3.4
HIDDEN
MARKOV
MODELS
.
31
3.4.1
MODEL
DEFINITION
.
31
3.4.2
RECOGNITION
WITH
HMMS
.
34
3.4.3
VITERBI
DECODING
.
36
3.4.4
TRAINING
HMMS
.
38
3.4.4.1
VITERBI
TRAINING
ALGORITHM
.
39
3.4.4.2
BAUM-WELCH
RE-ESTIMATION
ALGORITHM
.
40
3.4.5
IMPLEMENTATION
ISSUES
.
42
3.4.5.1
MULTIPLE
OBSERVATION
SEQUENCES
FOR
PARAMETER
ESTIMATION
.
.
42
3.4.5.2
LOG
ARITHMETIC
FOR
PROBABILITY
COMPUTATION
.
42
3.4.5.3
MULTIPLE
INDEPENDENT
OBSERVATION
STREAMS
.
43
3.4.6
CHARACTER
SEQUENCE
MODELING
AND
RECOGNITION
.
43
3.5
SUMMARY
.
45
4
PREPROCESSING
OF
HANDWRITTEN
DOCUMENTS
47
4.1
PAGE
LEVEL
PREPROCESSING
.
48
4.1.1
ROTATION
ESTIMATION
AND
PAGE
UNSKEW
.
48
CONTENTS
VII
4.1.2
TEXT
LINE
AND
WORD
SEGMENTATION
.
49
4.2
WORD
LEVEL
PREPROCESSING
.
50
4.2.1
SLANT
CORRECTION
.
51
4.2.2
DETECTION
OF
WORD
REFERENCE
LINES
.
52
5
HANDWRITTEN
WORD
MODELING
AND
RECOGNITION
55
5.1
CHARACTER
AND
WORD
MODELING
.
55
5.2
FEATURE
EXTRACTION
AND
IMAGE
REPRESENTATION
.
56
5.2.1
WORD
BASELINE
DEPENDENT
FEATURE
EXTRACTION
.
58
5.2.2
INFLUENCE
OF
BASELINE
DETECTION
ERROR
.
59
5.2.3
WORD
BASELINE
INDEPENDENT
FEATURE
EXTRACTION
.
61
5.2.4
EXTENDED
BASELINE
INDEPENDENT
FEATURE
EXTRACTION
.
62
5.2.5
MULTIPLE-STREAM
MODELING
METHOD
.
65
5.3
A
PARALLEL
MULTIPLE-BRANCH
HMM
WORD
MODELING
METHOD
.
66
5.4
TWO-PASS
WORD
MODELING
AND
RECOGNITION
.
67
5.4.1
TRAINING
OF
AUXILIARY
HORIZONTAL
MODELS
.
70
5.4.2
RECOGNITION
WITH
THE
AUXILIARY
MODELS
.
70
5.4.3
COMBINATION
OF
TWO
PASS
RESULTS
.
72
5.5
EXTENSION
OF
THE
TWO-PASS
APPROACH
.
74
5.5.1
ASYMMETRIC
TWO-PASS
RECOGNITION
.
74
5.5.2
WEIGHTED
VOTING
OF
TWO-PASS
RESULTS
.
75
5.6
SUMMARY
.
78
6
MULTIPLE
CLASSIFIER
COMBINATION
81
6.1
MOTIVATION
OF
THE
MULTIPLE-CLASSIFIER
COMBINATION
TECHNIQUE
.
82
6.2
A
FRAMEWORK
FOR
COMBINING
MULTIPLE
CLASSIFIERS
.
84
6.2.1
DEFINITIONS
IN
A
MULTIPLE-CLASSIFIER
SYSTEM
.
84
6.2.2
A
GENERAL
DISCRIMINANT
FUNCTION
FOR
DECISION
COMBINATION
.
85
6.2.3
COMBINING
MULTIPLE
ABSTRACT-LEVEL
CLASSIFIERS
.
88
6.2.4
COMBINING
MULTIPLE
RANK-LEVEL
CLASSIFIERS
.
89
6.2.5
COMBINATION
MULTIPLE
MEASUREMENT-LEVEL
CLASSIFIERS
.
89
6.2.5.1
MAX
RULE
.
90
VIII
CONTENTS
6.2.5.2
SUM
RULE
.
90
6.2.53
MEAN
RULE
.
90
6.2.5.4
WEIGHTED
SUM
RULE
.
90
6.3
DETERMINATION
OF
VOTING
WEIGHTS
.
90
6.4
RUN-TIME
DYNAMIC
VOTING
APPROACH
.
92
6.5
EXPERIMENTS
WITH
COMBINING
MULTIPLE
WORD
RECOGNIZERS
.
94
6.5.1
BUILDING
MULTIPLE
CLASSIFIERS
BASED
ON
HMMS
.
94
6.5.2
EXPERIMENTAL
RESULTS
.
95
6.6
COMBINING
MULTIPLE
CHARACTER-STRINGS
.
97
6.6.1
OPTIMAL
TWO-STRING
ALIGNMENT
ALGORITHM
.
98
6.6.2
MULTIPLE
STRING
ALIGNMENT
AND
VOTING
WITH
ROVER
ALGORITHM
.
100
6.6.3
MODIFICATIONS
TO
THE
ROVER
ALGORITHM
.
102
6.6.3.1
RESCORING
THE
COMBINATION
ORDER
.
102
6.63.2
DYNAMIC
VOTING
.
103
6.6.4
EXPERIMENTS
WITH
MULTIPLE
STRING
COMBINATION
.
104
6.7
SUMMARY
.
105
7
CONCLUSIONS
107
7.1
FUTURE
WORK
.
110
A
HANDWRITTEN
WORD
IMAGE
DATABASE
111
B
NIST
FORM-BASED
HANDPRINT
RECOGNITION
SYSTEM
115
LIST
OF
SYMBOLS
119
LIST
OF
ABBREVIATIONS
121
BIBLIOGRAPHY
123
CURRICULUM
VITAE
131 |
| any_adam_object | 1 |
| author | Wang, Wenwei 1966- |
| author_GND | (DE-588)124885004 |
| author_facet | Wang, Wenwei 1966- |
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| author_sort | Wang, Wenwei 1966- |
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| bvnumber | BV017370947 |
| ctrlnum | (OCoLC)68628331 (DE-599)BVBBV017370947 |
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| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV017370947 |
| illustrated | Illustrated |
| indexdate | 2024-08-22T00:16:44Z |
| institution | BVB |
| isbn | 3832216901 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-010469725 |
| oclc_num | 68628331 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | XIV, 132 S. graph. Darst. : 21 cm, 213 gr. |
| publishDate | 2003 |
| publishDateSearch | 2003 |
| publishDateSort | 2003 |
| publisher | Shaker |
| record_format | marc |
| series2 | Berichte aus der Informationstechnik |
| spelling | Wang, Wenwei 1966- Verfasser (DE-588)124885004 aut Off-line cursive handwritten word recognition using hidden Markov models and multiple classifier combination Wenwei Wang Aachen Shaker 2003 XIV, 132 S. graph. Darst. : 21 cm, 213 gr. txt rdacontent n rdamedia nc rdacarrier Berichte aus der Informationstechnik Zugl.: Duisburg, Univ., Diss., 2002 Kursive (DE-588)4166218-0 gnd rswk-swf Merkmalsextraktion (DE-588)4314440-8 gnd rswk-swf Handschrift Grafologie (DE-588)4113845-4 gnd rswk-swf Hidden-Markov-Modell (DE-588)4352479-5 gnd rswk-swf Automatische Klassifikation (DE-588)4120957-6 gnd rswk-swf Schriftzeichenerkennung (DE-588)4130728-8 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Handschrift Grafologie (DE-588)4113845-4 s Kursive (DE-588)4166218-0 s Schriftzeichenerkennung (DE-588)4130728-8 s Merkmalsextraktion (DE-588)4314440-8 s Hidden-Markov-Modell (DE-588)4352479-5 s Automatische Klassifikation (DE-588)4120957-6 s DE-604 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010469725&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Wang, Wenwei 1966- Off-line cursive handwritten word recognition using hidden Markov models and multiple classifier combination Kursive (DE-588)4166218-0 gnd Merkmalsextraktion (DE-588)4314440-8 gnd Handschrift Grafologie (DE-588)4113845-4 gnd Hidden-Markov-Modell (DE-588)4352479-5 gnd Automatische Klassifikation (DE-588)4120957-6 gnd Schriftzeichenerkennung (DE-588)4130728-8 gnd |
| subject_GND | (DE-588)4166218-0 (DE-588)4314440-8 (DE-588)4113845-4 (DE-588)4352479-5 (DE-588)4120957-6 (DE-588)4130728-8 (DE-588)4113937-9 |
| title | Off-line cursive handwritten word recognition using hidden Markov models and multiple classifier combination |
| title_auth | Off-line cursive handwritten word recognition using hidden Markov models and multiple classifier combination |
| title_exact_search | Off-line cursive handwritten word recognition using hidden Markov models and multiple classifier combination |
| title_full | Off-line cursive handwritten word recognition using hidden Markov models and multiple classifier combination Wenwei Wang |
| title_fullStr | Off-line cursive handwritten word recognition using hidden Markov models and multiple classifier combination Wenwei Wang |
| title_full_unstemmed | Off-line cursive handwritten word recognition using hidden Markov models and multiple classifier combination Wenwei Wang |
| title_short | Off-line cursive handwritten word recognition using hidden Markov models and multiple classifier combination |
| title_sort | off line cursive handwritten word recognition using hidden markov models and multiple classifier combination |
| topic | Kursive (DE-588)4166218-0 gnd Merkmalsextraktion (DE-588)4314440-8 gnd Handschrift Grafologie (DE-588)4113845-4 gnd Hidden-Markov-Modell (DE-588)4352479-5 gnd Automatische Klassifikation (DE-588)4120957-6 gnd Schriftzeichenerkennung (DE-588)4130728-8 gnd |
| topic_facet | Kursive Merkmalsextraktion Handschrift Grafologie Hidden-Markov-Modell Automatische Klassifikation Schriftzeichenerkennung Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010469725&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT wangwenwei offlinecursivehandwrittenwordrecognitionusinghiddenmarkovmodelsandmultipleclassifiercombination |