A Detection and Verification Based Approach for On-line Recognition of Handwritten Chinese Words
Dr Huo, Qiang (Principal investigator)
handwriiten Chinese word
Others - Computing Science and Information Technology,Artificial Intelligence (Obsolete)
RGC General Research Fund (GRF)
HKU Project Code
General Research Fund (GRF)
(1) to investigate a new "detection and verification based approach" for on-line recognition of handwritten Chinese words; (2) to investigate new techniques for feature extraction and character modeling to improve the character classification accuracy as well as the reliability of character verification; (3) to develop a prototype system on Tablet PC, as a test-bed of new ideas, by using the most promising solution identified through the study in this project. The character vocabulary of our recognizer will include 6763 simplified Chinese characters in GB2312-80 standard, 12 frequently used GBK Chinese characters, 62 alphanumeric characters, 140 punctuation marks and symbols. We are aiming at a writer-independent character recognition accuracy of above 90% for naturally written Chinese words derived from our handwriting corpus.