TIIS (한국인터넷정보학회)
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| 한글제목(Korean Title) |
Correction for Misrecognition of Korean Texts in Signboard Images using Improved Levenshtein Metric |
| 영문제목(English Title) |
Correction for Misrecognition of Korean Texts in Signboard Images using Improved Levenshtein Metric |
| 저자(Author) |
Myung-Hun Lee
Soo-Hyung Kim
Guee-Sang Lee
Sun-Hee Kim
Hyung-Jeong Yang
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| 원문수록처(Citation) |
VOL 06 NO. 02 PP. 0722 ~ 0733 (2012. 02) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Recently various studies on various applications using images taken by mobile phone cameras have been actively conducted. This study proposes a correction method for misrecognition of Korean Texts in signboard images using improved Levenshtein metric. The proposed method calculates distances of five recognized candidates and detects the best match texts from signboard text database. For verifying the efficiency of the proposed method, a database dictionary is built using 1.3 million words of nationwide signboard through removing duplicated words. We compared the proposed method to Levenshtein Metric which is one of representative text string comparison algorithms. As a result, the proposed method based on improved Levenshtein metric represents an improvement in recognition rates 31.5% on average compared to that of conventional methods. |
| 키워드(Keyword) |
Character recognition
sign image
Levenshtein Distance
post-processing
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| 파일첨부 |
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