Title :
Substroke matching by segmenting and merging for online Korean cursive character recognition
Author :
Kim, Chang Soo ; Park, Kang Ryoung ; Jun, Byung Hwan ; Kim, Jaihie
Author_Institution :
Sch. of Electr. & Mech. Eng., Yonsei Univ., Seoul, South Korea
Abstract :
The Korean character is composed of several alphabets in two-dimensional formation and the total number of Korean characters exceeds eleven thousand. Therefore, the previous approaches to Korean cursive characters pay most of their attention to segmenting a character into alphabets accurately. However, it is difficult because the boundaries of alphabets are not apparent in most cases. We propose an alphabet-based method without assuming accurate alphabet segmentation. In the proposed method, a cursive character is segmented into substrokes by a set of segmenting conditions. Then it is matched with the reference substrokes generated from alphabet models and ligatures by segmenting and merging in the process of recognition. Among substrokes, a certain substroke can be either an alphabet itself a part of alphabet or a composite of the alphabet and ligature. We applied the proposed method to 5000 Korean characters and got the result of 83.4% for the first rank and 89.2% for the top 5 result candidates with the speed of 0.17 seconds on average per character on a PC which uses Intel Pentium 90 Mhz CPU
Keywords :
handwritten character recognition; image segmentation; merging; alphabet-based method; ligatures; online Korean cursive character recognition; substroke matching; Character recognition; Computer science; Handwriting recognition; Hardware; Merging; Read only memory; Speech recognition; Virtual colonoscopy; Wireless communication;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.711888