JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Online Recognition of Handwritten Korean and English Characters |
| 영문제목(English Title) |
Online Recognition of Handwritten Korean and English Characters |
| 저자(Author) |
Ming Ma
Dong-Won Park
Soo Kyun Kim
Syungog An
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| 원문수록처(Citation) |
VOL 08 NO. 04 PP. 0653 ~ 0668 (2012. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
In this study, an improved HMM based recognition model is proposed for online English and Korean handwritten characters. The pattern elements of the handwriting model are sub character strokes and ligatures. To deal with the problem of handwriting style variations, a modified Hierarchical Clustering approach is introduced to partition different writing styles into several classes. For each of the English letters and each primitive grapheme in Korean characters, one HMM that models the temporal and spatial variability of the handwriting is constructed based on each class. Then the HMMs of Korean graphemes are concatenated to form the Korean character models. The recognition of handwritten characters is implemented by a modified level building algorithm, which incorporates the Korean character combination rules within the efficient network search procedure. Due to the limitation of the HMM based method, a postprocessing procedure that takes the global and structural features into account is proposed. Experiments showed that the proposed recognition system achieved a high writer independent recognition rate on unconstrained samples of both English and Korean characters. The comparison with other schemes of HMM-based recognition was also performed to evaluate the system |
| 키워드(Keyword) |
Online Handwriting Recognition
Hidden Markov Model
Stochastic Grammar
Hierarchical Clustering
Position Verifier
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| 파일첨부 |
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