咨询与建议

看过本文的还看了

相关文献

该作者的其他文献

文献详情 >Study on the de-watermark algo... 收藏

Study on the de-watermark algorithm based on grayscale text

Study on the de-watermark algorithm based on grayscale text

作     者:Huang Guoquan Chen Zhipeng Sun Xiaocui 黄国权;Chen Zhipeng;Sun Xiaocui

作者机构:Department of Computer ScienceGuangdong Pharmaceutical UniversityGuangzhou 510006P.R.China Medicinal Information&Real World Engineering Technology CenterGuangdong Pharmaceutical UniversityGuangzhou 510006P.R.China 

出 版 物:《High Technology Letters》 (高技术通讯(英文版))

年 卷 期:2021年第27卷第1期

页      面:95-102页

核心收录:

学科分类:08[工学] 0710[理学-生物学] 0831[工学-生物医学工程(可授工学、理学、医学学位)] 0810[工学-信息与通信工程] 1205[管理学-图书情报与档案管理] 0839[工学-网络空间安全] 0807[工学-动力工程及工程热物理] 0805[工学-材料科学与工程(可授工学、理学学位)] 0802[工学-机械工程] 0836[工学-生物工程] 0811[工学-控制科学与工程] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术(可授工学、理学学位)] 0702[理学-物理学] 

基  金:Supported by the National Entrepreneurship Training Fund Project(No.201810573007X) China Scholarship Council Project(No.201708440547) GDPU Higher Education Innovation Strong School Project(No.2017GXJK079,51359055) 

主  题:de-watermark text recognition character recognition optical character recognition(OCR)application 

摘      要:When using the current popular text recognition algorithms such as optical character recognition(OCR)algorithm for text images,the presence of watermarks in text images interferes with algorithm recognition to the extent of fuzzy font,which is not conducive to the improvement of the recognition *** order to pursue fast and high recognition rate,watermark removal has become a critical problem to be *** work studies the watermarking algorithm based on morphological algorithm set and classic image algorithm in computer *** can not only remove the watermark in a short time,but also keep the form and clarity of the text in the *** algorithm also meets the requirements that the higher the clarity of image and text,the better the processing *** can process the Chinese characters with complex structure,complicated radicals or other characters *** addition,the algorithm can basically process ordinary size images in 1 s,the efficiency is relatively high.

读者评论 与其他读者分享你的观点

用户名:未登录
我的评分