On method of training dictionaries for handwritten character recognition using relaxation matching

Author

Horiuchi, T. ; Toraichi, K. ; Yamamoto, K. ; Yamada, H.

Author_Institution

Wisdom Syst. Lab., Tsukuba Univ., Japan

fYear

1993

fDate

20-22 Oct 1993

Firstpage

638

Lastpage

641

Abstract

A training method of dictionary characters is presented for handwritten character recognition by the model based on relaxation approach. The dictionary characters are constructed by analyzing the structure of several training characters using curved line approximation and relaxation matching. The performance of the constructed dictionary characters was verified by the experiment. 956 (chars.) × 20 (sets) in the standard database ETL-8 (Japanese KANJI and HIRAGANA) are used as sample characters for training and 10 (sets) are used as test characters (5 known sets and 5 unknown sets). The mean of the number of constructed dictionary characters is 3.81 for each category, and recognition rate is 99.96% on the known sets and 99.73% on the unknown sets

Keywords

glossaries; handwriting recognition; optical character recognition; ETL-8; HIRAGANA; Japanese KANJI; curved line approximation; dictionary characters; handwritten character recognition; recognition rate; relaxation approach; relaxation matching; standard database; test characters; training characters; training method; Artificial intelligence; Character recognition; Databases; Dictionaries; Handwriting recognition; Keyboards; Optical character recognition software; Optical sensors; Performance analysis; Tires;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on

Conference_Location

Tsukuba Science City

Print_ISBN

0-8186-4960-7

Type

conf

DOI

10.1109/ICDAR.1993.395656

Filename

395656