A New Courtesy Amount Recognition Module of a Check Reading System

被引：0
|
作者：
Ding, Wu [1 ]
Suen, Ching Y. [1 ]
Krzyzak, Adam [1 ]
机构：
[1] Concordia Univ, Ctr Pattern Recognit & Machine Intelligence, Montreal, PQ H3G 1M8, Canada
来源：
19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6 | 2008年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new courtesy amount recognition module of CENPARMI's Check Reading System (CRS) is proposed in this paper. The module consists of 3 main segments: pre-processing, segmentation and recognition, and post-processing. A new feedback-based segmentation algorithm is adopted for the segmentation task. Besides one individual numeral recognizer for numerals from '0' to '9', one convolutional neural network(CAW) recognizer for "00" and "000" numeral strings is also integrated into our module for the recognition task. The experimental results on the Quebec Bell Check database show that the recognition rate of the courtesy amount has improved from 41.2% to 74.3%.
引用
收藏
页码：1901 / 1904
页数：4
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