西安理工大学学报2016，Vol.32Issue(4)：399-402,415,5.DOI:10.19322/j.cnki.issn.1006-4710.2016.04.004
自适应字符切分及提取算法研究
Study of adaptive character segmentation and extraction algorithm
摘要
Abstract
In the current the situation of character recognition technology is becoming more and more mature,and the correct segmentation and extraction of single character has become a key factor to control the accuracy of character recognition.This paper focuses on second-hand car in-voice printing of digital date (Arabic numerals),with both vertical proj ection and contour feature combination strategies for adaptive character segmentation and extraction being conducted after image binarization processing.Experimental results show that using the proposed method can im-prove the segmentation rate of the string from the image,ensuring that the average accuracy rate of the extracted image can reach 9 9%.关键词
字符切分及提取/字符识别/图像二值化Key words
character segmentation and extraction/character recognition/image binarization分类
信息技术与安全科学引用本文复制引用
金海燕,夏婷,王彬..自适应字符切分及提取算法研究[J].西安理工大学学报,2016,32(4):399-402,415,5.基金项目
国家自然科学基金资助项目 （）
