Handwritten Information Extraction and Recognition in Printed Chart
Qingren Wang · Jisuanji gongcheng · 2004
This paper presents a novel method for driver schedule chart recognition. Background-foreground separation model is used to extract handwritten information, illuminative rules are designed to remove noises in image, and error-toleration mechanism is build to resolve recognition confliction and locate filling error. This method is tested through four test bases containing total 805 pages of real driver log. The accuracy rate of 93% is attained.