Multi-model Segmentation and Recognition Algorithm of Courtesy Amount

A multi-model segmentation and recognition algorithm of courtesy amount on Chinese bank checks with the form lines is presented in this paper.Based on some characteristics of Chinese bank checks,we adopt three models for different parts of the courtesy amount.The pre-segmentation model deals with the isolated characters.The touching zeros detection model is designed for the part of touching zeros.The segmentation-based recognition model deals with other touching part in the courtesy amount.In the third model,we use genetic algorithm to accelerate the searching process.The system is validated with 1 053 real bank checks.The reject rate is 33.6%,and the recognition rate at the amount level can reach 66.1%.The experiment results show that the recognition rate of the real bank checks can be improved with this new method.