New matching methods for dissimilar handwritten character images
Identifieur interne :
000830 ( PascalFrancis/Corpus );
précédent :
000829;
suivant :
000831
New matching methods for dissimilar handwritten character images
Auteurs : X. Zhu ;
Y. Su ;
S. Wang ;
C. GeorgerSource :
-
SPIE proceedings series [ 1017-2653 ] ; 1998.
RBID : Pascal:99-0196386
Descripteurs français
English descriptors
Abstract
New approaches to the problem of matching method for dissimilar handwritten character images are presented in this paper. One of them is for the offline recognition of dissimilar two-stroke digits which are difficult to discriminate. Several measures are taken to obtain proper division and description of the two strokes to further discrimination. In the recognition stage we combined syntactic analysis with statistical calculation. The other approach is for verifying offline handwritten Chinese signatures. Local connection properties are fully employed and the weighted distances are calculated on the whole signature image. Experiments results show that using the proposed matching methods increased the recognition rate and improved the reliability of our OCR system and is also helpful for verification of handwritten Chinese signatures. Pattern recognition, matching, handwritten character image, variation, measure, signature verification.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
| pA |
| A01 | 01 | 1 | | @0 1017-2653 |
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| A05 | | | | @2 3545 |
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| A08 | 01 | 1 | ENG | @1 New matching methods for dissimilar handwritten character images |
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| A09 | 01 | 1 | ENG | @1 International symposium on multispectral image processing (ISMIP'98) : Wuhan, 21-23 October 1998 |
|---|
| A11 | 01 | 1 | | @1 ZHU (X.) |
|---|
| A11 | 02 | 1 | | @1 SU (Y.) |
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| A11 | 03 | 1 | | @1 WANG (S.) |
|---|
| A11 | 04 | 1 | | @1 GEORGER (C.) |
|---|
| A12 | 01 | 1 | | @1 JI ZHOU @9 ed. |
|---|
| A12 | 02 | 1 | | @1 JAIN (Anil K.) @9 ed. |
|---|
| A12 | 03 | 1 | | @1 TIANXU ZHANG @9 ed. |
|---|
| A12 | 04 | 1 | | @1 YAOTING ZHU @9 ed. |
|---|
| A12 | 05 | 1 | | @1 MINGYUE DING @9 ed. |
|---|
| A12 | 06 | 1 | | @1 JIANGUO LIU @9 ed. |
|---|
| A14 | 01 | | | @1 Nanjing University of Posts & Telecommunications, Department of Computer Science and Engineering @2 Nanjing, 210003 @3 CHN @Z 1 aut. @Z 2 aut. @Z 3 aut. |
|---|
| A14 | 02 | | | @1 University XI, Paris, Institute of Fundamental Electronics @2 Paris @3 FRA @Z 4 aut. |
|---|
| A18 | 01 | 1 | | @1 International Society for Optical Engineering @2 Bellingham WA @3 USA @9 patr. |
|---|
| A20 | | | | @1 340-343 |
|---|
| A21 | | | | @1 1998 |
|---|
| A23 | 01 | | | @0 ENG |
|---|
| A26 | 01 | | | @0 0-8194-3006-4 |
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| A43 | 01 | | | @1 INIST @2 21760 @5 354000073151390740 |
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| A44 | | | | @0 0000 @1 © 1999 INIST-CNRS. All rights reserved. |
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| A45 | | | | @0 14 ref. |
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| A47 | 01 | 1 | | @0 99-0196386 |
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| A60 | | | | @1 P @2 C |
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| A61 | | | | @0 A |
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| A64 | 01 | 1 | | @0 SPIE proceedings series |
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| A66 | 01 | | | @0 USA |
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| C01 | 01 | | ENG | @0 New approaches to the problem of matching method for dissimilar handwritten character images are presented in this paper. One of them is for the offline recognition of dissimilar two-stroke digits which are difficult to discriminate. Several measures are taken to obtain proper division and description of the two strokes to further discrimination. In the recognition stage we combined syntactic analysis with statistical calculation. The other approach is for verifying offline handwritten Chinese signatures. Local connection properties are fully employed and the weighted distances are calculated on the whole signature image. Experiments results show that using the proposed matching methods increased the recognition rate and improved the reliability of our OCR system and is also helpful for verification of handwritten Chinese signatures. Pattern recognition, matching, handwritten character image, variation, measure, signature verification. |
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| C03 | 01 | X | FRE | @0 Reconnaissance caractère @5 14 |
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| C03 | 01 | X | ENG | @0 Character recognition @5 14 |
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| C03 | 01 | X | SPA | @0 Reconocimiento carácter @5 14 |
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| C03 | 02 | X | FRE | @0 Reconnaissance forme @5 15 |
|---|
| C03 | 02 | X | ENG | @0 Pattern recognition @5 15 |
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| C03 | 02 | X | SPA | @0 Reconocimiento patrón @5 15 |
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| C03 | 03 | X | FRE | @0 Traitement image @5 16 |
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| C03 | 03 | X | ENG | @0 Image processing @5 16 |
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| C03 | 03 | X | SPA | @0 Procesamiento imagen @5 16 |
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| C03 | 04 | X | FRE | @0 Concordance forme @5 21 |
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| C03 | 04 | X | ENG | @0 Pattern matching @5 21 |
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| C03 | 05 | X | FRE | @0 Caractère manuscrit @5 22 |
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| C03 | 05 | X | ENG | @0 Manuscript character @5 22 |
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| C03 | 05 | X | SPA | @0 Carácter manuscrito @5 22 |
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| C03 | 06 | X | FRE | @0 Chinois @5 24 |
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| C03 | 06 | X | ENG | @0 Chinese @5 24 |
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| C03 | 06 | X | SPA | @0 Chino @5 24 |
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| C03 | 07 | X | FRE | @0 Vérification signature @4 INC @5 77 |
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| N21 | | | | @1 123 |
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|
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| pR |
| A30 | 01 | 1 | ENG | @1 International symposium on multispectral image processing @3 Wuhan CHN @4 1998-10-21 |
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|
|---|
Format Inist (serveur)
| NO : | PASCAL 99-0196386 INIST |
|---|
| ET : | New matching methods for dissimilar handwritten character images |
|---|
| AU : | ZHU (X.); SU (Y.); WANG (S.); GEORGER (C.); JI ZHOU; JAIN (Anil K.); TIANXU ZHANG; YAOTING ZHU; MINGYUE DING; JIANGUO LIU |
|---|
| AF : | Nanjing University of Posts & Telecommunications, Department of Computer Science and Engineering/Nanjing, 210003/Chine (1 aut., 2 aut., 3 aut.); University XI, Paris, Institute of Fundamental Electronics/Paris/France (4 aut.) |
|---|
| DT : | Publication en série; Congrès; Niveau analytique |
|---|
| SO : | SPIE proceedings series; ISSN 1017-2653; Etats-Unis; Da. 1998; Vol. 3545; Pp. 340-343; Bibl. 14 ref. |
|---|
| LA : | Anglais |
|---|
| EA : | New approaches to the problem of matching method for dissimilar handwritten character images are presented in this paper. One of them is for the offline recognition of dissimilar two-stroke digits which are difficult to discriminate. Several measures are taken to obtain proper division and description of the two strokes to further discrimination. In the recognition stage we combined syntactic analysis with statistical calculation. The other approach is for verifying offline handwritten Chinese signatures. Local connection properties are fully employed and the weighted distances are calculated on the whole signature image. Experiments results show that using the proposed matching methods increased the recognition rate and improved the reliability of our OCR system and is also helpful for verification of handwritten Chinese signatures. Pattern recognition, matching, handwritten character image, variation, measure, signature verification. |
|---|
| CC : | 001D04A05A; 001D04A05C |
|---|
| FD : | Reconnaissance caractère; Reconnaissance forme; Traitement image; Concordance forme; Caractère manuscrit; Chinois; Vérification signature |
|---|
| ED : | Character recognition; Pattern recognition; Image processing; Pattern matching; Manuscript character; Chinese |
|---|
| SD : | Reconocimiento carácter; Reconocimiento patrón; Procesamiento imagen; Carácter manuscrito; Chino |
|---|
| LO : | INIST-21760.354000073151390740 |
|---|
| ID : | 99-0196386 |
|---|
Links to Exploration step
Pascal:99-0196386
Le document en format XML
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</keywords><front><div type="abstract" xml:lang="en">New approaches to the problem of matching method for dissimilar handwritten character images are presented in this paper. One of them is for the offline recognition of dissimilar two-stroke digits which are difficult to discriminate. Several measures are taken to obtain proper division and description of the two strokes to further discrimination. In the recognition stage we combined syntactic analysis with statistical calculation. The other approach is for verifying offline handwritten Chinese signatures. Local connection properties are fully employed and the weighted distances are calculated on the whole signature image. Experiments results show that using the proposed matching methods increased the recognition rate and improved the reliability of our OCR system and is also helpful for verification of handwritten Chinese signatures. Pattern recognition, matching, handwritten character image, variation, measure, signature verification.</div>
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<ET>New matching methods for dissimilar handwritten character images</ET>
<AU>ZHU (X.); SU (Y.); WANG (S.); GEORGER (C.); JI ZHOU; JAIN (Anil K.); TIANXU ZHANG; YAOTING ZHU; MINGYUE DING; JIANGUO LIU</AU>
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<DT>Publication en série; Congrès; Niveau analytique</DT>
<SO>SPIE proceedings series; ISSN 1017-2653; Etats-Unis; Da. 1998; Vol. 3545; Pp. 340-343; Bibl. 14 ref.</SO>
<LA>Anglais</LA>
<EA>New approaches to the problem of matching method for dissimilar handwritten character images are presented in this paper. One of them is for the offline recognition of dissimilar two-stroke digits which are difficult to discriminate. Several measures are taken to obtain proper division and description of the two strokes to further discrimination. In the recognition stage we combined syntactic analysis with statistical calculation. The other approach is for verifying offline handwritten Chinese signatures. Local connection properties are fully employed and the weighted distances are calculated on the whole signature image. Experiments results show that using the proposed matching methods increased the recognition rate and improved the reliability of our OCR system and is also helpful for verification of handwritten Chinese signatures. Pattern recognition, matching, handwritten character image, variation, measure, signature verification.</EA>
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