Handprinted Kanji OCR development - what was solved in handprinted Kanji character recognition?
Identifieur interne : 000994 ( PascalFrancis/Corpus ); précédent : 000993; suivant : 000995Handprinted Kanji OCR development - what was solved in handprinted Kanji character recognition?
Auteurs : J. TsukumoSource :
- IEICE Transactions on Information and Systems [ 0916-8532 ] ; 1996.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
Handprinted Kanji character recognition was the most important research topic for 1980s. Today there are several commercial products of handprinted Kanji OCR, but there are many unsolved problems. In this paper three types of research approach are focused for handprinted Kanji character recognition. The first approach is directional pattern matching, which is generally applied to handprinted Kanji character recognition. The second approach is potential field feature extraction, which activated Kanji character recognition research in the early stage of research. The third approach is shape matching. This paper surveys these research approaches, and both contributions and problems of them are discussed.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
pA |
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Format Inist (serveur)
NO : | PASCAL 96-0339045 EI |
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ET : | Handprinted Kanji OCR development - what was solved in handprinted Kanji character recognition? |
AU : | TSUKUMO (J.) |
AF : | NEC Corp/Kawasaki-shi/Japon (1 aut.) |
DT : | Publication en série; Niveau analytique |
SO : | IEICE Transactions on Information and Systems; ISSN 0916-8532; Coden ITISEF; Japon; Da. 1996; Vol. v E79-D; No. 5; Pp. 411-416; Bibl. 45 Refs. |
LA : | Anglais |
EA : | Handprinted Kanji character recognition was the most important research topic for 1980s. Today there are several commercial products of handprinted Kanji OCR, but there are many unsolved problems. In this paper three types of research approach are focused for handprinted Kanji character recognition. The first approach is directional pattern matching, which is generally applied to handprinted Kanji character recognition. The second approach is potential field feature extraction, which activated Kanji character recognition research in the early stage of research. The third approach is shape matching. This paper surveys these research approaches, and both contributions and problems of them are discussed. |
CC : | 001B40B; 001D02B; 001D02B07B |
FD : | Article synthèse; Algorithme; Détection forme; Reconnaissance forme; Traitement image; Reconnaissance optique caractère |
ED : | Kanji character recognition; Handprinted Kanji characters; Pattern matching; Shape matching; Reviews; Algorithms; Feature extraction; Pattern recognition; Image processing; Optical character recognition |
LO : | E.i. |
ID : | 96-0339045 |
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Pascal:96-0339045Le document en format XML
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<front><div type="abstract" xml:lang="en">Handprinted Kanji character recognition was the most important research topic for 1980s. Today there are several commercial products of handprinted Kanji OCR, but there are many unsolved problems. In this paper three types of research approach are focused for handprinted Kanji character recognition. The first approach is directional pattern matching, which is generally applied to handprinted Kanji character recognition. The second approach is potential field feature extraction, which activated Kanji character recognition research in the early stage of research. The third approach is shape matching. This paper surveys these research approaches, and both contributions and problems of them are discussed.</div>
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<ET>Handprinted Kanji OCR development - what was solved in handprinted Kanji character recognition?</ET>
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