A robust method for recognition of monetary amount printed by checkwriter
Masashi Koga, Ryuji Mine, Tsukasa Yasue, Hiroshi Sako, Hiromichi Fujisawa · Systems and Computers in Japan · 2004
Abstract We propose a new method to recognize monetary amounts printed by checkwriters. We applied a character segmentation method robust to noise and a bottom‐up parsing for postprocessing. In the proposed method, the input image is segmented both horizontally and vertically in the presegmentation step. A context‐free grammar describes the linguistic constraints in the monetary amounts. We devised a new bottom‐up parsing technique that interprets the results of character classification. We tested the validity of the new method using 1314 images. The correct ratio was 72.7%, which is 8.4 points higher than that of the conventional method. © 2004 Wiley Periodicals, Inc. Syst Comp Jpn, 35(7): 49–60, 2004; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/scj.10616