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基于方向线素特征的孟加拉手写数字识别

林颖 吕岳

计算机工程2009,Vol.35Issue(15):185-186,189,3.
计算机工程2009,Vol.35Issue(15):185-186,189,3.

基于方向线素特征的孟加拉手写数字识别

Handwritten Bangla Numerals Recognition Based on Directional Element Feature

林颖 1吕岳1

作者信息

  • 1. 华东师范大学计算机科学与技术系,上海200241
  • 折叠

摘要

Abstract

This paper presents a novel approach to automatic recognition of handwritten Bangla numerals. An effective method for Bangla numerals' feature extraction is carried out by using Directional Element Feature(DEF) combined with weighted Ending and Crossing Point(ECP) features. BP neural network is employed as a classifier. Experimental result on the numeral images obtained from real Bangladesh envelopes show that the proposed recognition method achieves a satisfied result on both recognition and reliability with the rates of 97.63% and 98.77% respectively.

关键词

方向线索特征/孟加拉手写数字/BP神经网络

Key words

Directional Element Feature(DEF)/ handwritten Bangla numerals/ BP neural network

分类

信息技术与安全科学

引用本文复制引用

林颖,吕岳..基于方向线素特征的孟加拉手写数字识别[J].计算机工程,2009,35(15):185-186,189,3.

基金项目

教育部新世纪优秀人才支持计划基金资助项目(NCET-05-0430) (NCET-05-0430)

计算机工程

OA北大核心CSCDCSTPCD

1000-3428

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