A Coevolution Algorithm in the Image Recognition System

被引：0
|
作者：
Tan Jianhao [1 ]
Zhang Jing [1 ]
Song Caixia [1 ]
Wang Ya [1 ]
机构：
[1] Hunan Univ, Elect & Informat Engn Coll, Changsha 410082, Hunan, Peoples R China
来源：
2013 THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM DESIGN AND ENGINEERING APPLICATIONS (ISDEA) | 2013年
关键词：
genetic programing; coevolution algorithm; image recognition systems; HANDWRITTEN DIGIT RECOGNITION; FEATURE-EXTRACTION; NORMALIZATION;
D O I：
10.1109/ISDEA.2012.12
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A complete document analysis system involves multiple techniques and indifferent processing steps. Even a character recognition or word recognition module (subsystem) needs techniques combining a few algorithms. To exemplify how the techniques are practically used and how they are performing, some concrete examples of using multiple techniques to build practical recognition systems are presented, and experimental results on real image data are showed. In the paper, evolutionary generation of pattern recognizers will be discussed and a coevolution algorithm in the image recognition system will be researched. This result shows that competitive coevolution and camouflage are expected to aid in the problem of overfitting and reliability without expert tuning, and also in the generation of a larger and more diverse data set.
引用
收藏
页码：22 / 25
页数：4
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