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Handprinted Kanji OCR development - what was solved in handprinted Kanji character recognition?

Identifieur interne : 000994 ( PascalFrancis/Corpus ); précédent : 000993; suivant : 000995

Handprinted Kanji OCR development - what was solved in handprinted Kanji character recognition?

Auteurs : J. Tsukumo

Source :

RBID : Pascal:96-0339045

Descripteurs français

English descriptors

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  
A01 01  1    @0 0916-8532
A02 01      @0 ITISEF
A03   1    @0 IEICE Trans Inf Syst
A05       @2 v E79-D
A06       @2 5
A08 01  1  ENG  @1 Handprinted Kanji OCR development - what was solved in handprinted Kanji character recognition?
A11 01  1    @1 TSUKUMO (J.)
A14 01      @1 NEC Corp @2 Kawasaki-shi @3 JPN @Z 1 aut.
A20       @1 411-416
A21       @1 1996
A23 01      @0 ENG
A43 01      @1 E.i.
A44       @0 A100
A45       @0 45 Refs.
A47 01  1    @0 96-0339045
A60       @1 P
A61       @0 A
A64 01  1    @0 IEICE Transactions on Information and Systems
A66 01      @0 JPN
C01 01    ENG  @0 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.
C02 01  3    @0 001B40B
C02 02  X    @0 001D02B
C02 03  X    @0 001D02B07B
C03 01  1  ENG  @0 Kanji character recognition @4 INC
C03 02  1  ENG  @0 Handprinted Kanji characters @4 INC
C03 03  1  ENG  @0 Pattern matching @4 INC
C03 04  1  ENG  @0 Shape matching @4 INC
C03 05  1  FRE  @0 Article synthèse
C03 05  1  ENG  @0 Reviews
C03 06  1  FRE  @0 Algorithme
C03 06  1  ENG  @0 Algorithms
C03 07  1  FRE  @0 Détection forme
C03 07  1  ENG  @0 Feature extraction
C03 08  1  FRE  @0 Reconnaissance forme
C03 08  1  ENG  @0 Pattern recognition
C03 09  1  FRE  @0 Traitement image
C03 09  1  ENG  @0 Image processing
C03 10  1  FRE  @0 Reconnaissance optique caractère @3 P
C03 10  1  ENG  @0 Optical character recognition @3 P
N21       @1 239

Format Inist (serveur)

NO : PASCAL 96-0339045 EI
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

Links to Exploration step

Pascal:96-0339045

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