A lexicon driven approach for off-line recognition of unconstrained handwritten Korean words

Author

Kim, Soo H. ; Jeong, S. ; Suen, Ching Y.

Author_Institution

Dept. of Comput. Sci., Chonnam Nat. Univ., Kwangju, South Korea

fYear

1999

fDate

20-22 Sep 1999

Firstpage

507

Lastpage

510

Abstract

We propose a new method for the recognition of unconstrained handwritten words consisting of Korean and numeric characters. To overcome the difficulty of separating touching characters, we adopt an over-segmentation technique and we find the optimal segment combination using a lexicon-driven word scoring technique and a nearest neighbor classifier. The optimal combination gives the final segmentation positions for individual characters with the best matching word in the lexicon. The proposed system has yielded an accuracy of 90.64% for 908 word images on live mail pieces

Keywords

character sets; document image processing; handwritten character recognition; image matching; image segmentation; Korean characters; accuracy; best matching word; final segmentation positions; lexicon-driven word scoring technique; live mail pieces; nearest neighbor classifier; numeric characters; off-line unconstrained handwritten Korean word recognition; optimal segment combination; over-segmentation technique; touching character separation; word images; Character recognition; Computer science; Handwriting recognition; Hidden Markov models; Image segmentation; Law; Legal factors; Machine intelligence; Pattern recognition; Postal services;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on

Conference_Location

Bangalore

Print_ISBN

0-7695-0318-7

Type

conf

DOI

10.1109/ICDAR.1999.791836

Filename

791836