摘要
在智能自动化领域,具有群体智能特征的蚁群算法引起了人们的广泛关注。目前,在文字识别方面的研究仍较少,而在当今社会很多方面都需要用到文字图像边缘的检测与文字识别,在文字信息泛滥的时代,利用人工识别技术检测识别图片、纸张、广告牌、视频等媒介上的文字已经变得不太现实。为了准确、高效地检测识别出文字,在学习了蚁群算法的基本原理之后,改进了传统的蚁群算法,并将其应用于图像分割、提取文字领域,同时结合图像文字识别技术OCR和纹理特征检测文字图像边缘,由此提高文字检测识别的准确性。
In the field of intelligent automation,ant colony algorithm with the characteristics of swarm intelligence has attracted extensive attention.At present,the research on character recognition is still less,and in today's society,many aspects need to use the edge detection and character recognition of the character image.In the era of text information flooding,it has become unreal istic to use the artificial recognition technology to detect and recognize the characters on the images,papers,billboards,videos and other media.In order to detect and recognize characters accurately and efficiently,after learning the basic principle of ant colony algorithm,the traditional ant colony algorithm is improved and applied to the field of image segmentation and extraction of characters.At the same time,the edge of character image is detected by combining OCR and texture features to improve the accuracy of character detection and recognition.
作者
张开
岑翠
李林献
谢雨非
Zhang Kai;Cen Cui;Li Linxian;Xie Yufei(Yulin Normal University,Yulin Guangxi 537000,China)
出处
《信息与电脑》
2019年第22期28-30,共3页
Information & Computer
关键词
蚁群算法
图像文字识别
边缘检测
ant colony algorithm
image text recognition
edge detection
