Weighted Disassemble-based Correction Method to Improve Recognition Rates of Korean Text in Signboard Images
Myung-Hun Lee, Hyung-Jeong Yang, Soo-Hyung Kim, Guee-Sang Lee, Sun‐Hee Kim · The Journal of the Korea Contents Association · 2012
In this paper, we propose a correction method using phoneme unit segmentation to solve misrecognition of Korean Texts in signboard images using weighted Disassemble Levenshtein Distance. The proposed method calculates distances of recognized texts which are segmented into phoneme units and detects the best matched 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 Distance and Disassemble Levenshtein Distance which are common representative text string comparison algorithms. As a result, the proposed method based on weighted Disassemble Levenshtein Distance represents an improvement in recognition rates 29.85% and 6% on average compared to that of conventional methods, respectively.