Match between normalization schemes and feature sets for handwritten Chinese character recognition

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn 2001-January, Issue , 2001, Pages 551-555

  Wang, Qing ^a,b   Chi, Zheru ^a   Feng, David D ^a   Zhao, Rongchun ^b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; FEATURE EXTRACTION;

CLASSIFICATION PERFORMANCE; FEATURE EXTRACTION TECHNIQUES; HANDWRITTEN CHINESE CHARACTER; HANDWRITTEN CHINESE CHARACTER RECOGNITION; K-MEANS CLUSTERING ALGORITHM; NEAREST NEIGHBOR CLASSIFIER; NORMALIZATION METHODS; RECOGNITION SYSTEMS;

CHARACTER RECOGNITION;

EID: 33750088233     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2001.953849     Document Type: Conference Paper

References (8)

1. Y. Yamashita, K. Higuchi, Y. Yamada, Y. Haga, Classification of Hand-printed Kanji Characters by the Structured Segment Matching Method, Patt. Recog. Let., 1, (1989), 475-479.
2. H. Yamada, T. Saito and K. Yamamoto, Line Density Equalization-A Nonlinear Normalization for Correlation Method, Trans. IECE Japan J67-D, 11, (1984), 1379-1383.
3. th Int. Conf. on Patt. Recog., (1988), 168-171.
4. H. Yamada, K. Yamamoto and T. Saito, A Nonlinear Normalization Method for Hand-printed Kanji Character Recognition-Line Density Equalization, Patt. Recog., 23, (1990), 1023-1029.
5. S.W. Lee and J.S. Park, Nonlinear Shape Normalization Methods for the Recognition of Large-set Handwritten Characters, Patt. Recog., 27(7), (1994), 895-902.
6. rd Int. Conf. on Doc. Anal, and Recog., 2, (1995), 719-722.
7. th Int. Conf. on Doc. Anal. & Recog., 2, (1997), 511-514.
8. T. Wakahara and K. Odaka, Adaptive Normalization of Handwritten Characters Using Global/ Local Affine Transformation, IEEE Trans. PAMI., 20(12), (1998),1332-1341.