Memetic Algorithm Used in Character Recognition

被引：2

作者：

Welekar, Rashmi ^{[1
]}

Thakur, Nileshsingh V. ^{[2
]}

机构：

[1] Shri Ramdeobaba Coll Engn & Management, Dept Comp Sci & Engn, Nagpur, Maharashtra, India

[2] Prof Ram Meghe Coll Engn & Management, Dept Comp Sci & Engn, Badnera Amravati, Maharashtra, India

来源：

SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, SEMCCO 2014 | 2015年 / 8947卷

关键词：

Memetic algorithms; Genetic algorithms; Minimum edit distance; Connected segments; Character recognition; HANDWRITING RECOGNITION;

D O I：

10.1007/978-3-319-20294-5_55

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Memetic algorithms (MAs) are basically optimization algorithms which fully exploit the problem under consideration. This paper describes the character recognition problem using traditional approach, genetic algorithm approach and memetic algorithm approach. It also describes the basic architecture of MA and elaborates the memetic algorithm based approach to character recognition. The comparison with traditional approach and genetic algorithm approach shows that MA remarkably reduces the error rate. This paper is useful for the beginners who apply nature based computing in character recognition.

引用

页码：636 / 646

页数：11

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