模式识别与人工智能
Friday, May. 2, 2025 Home      About Journal      Editorial Board      Instructions      Ethics Statement      Contact Us                   中文
  2006, Vol. 19 Issue (6): 771-775    DOI:
Researches and Applications Current Issue| Next Issue| Archive| Adv Search |
An Algorithm for Text Extraction in Complex Color Image
LIU XinXing, WANG ZengFu
Department of Automation, University of Science and Technology of China, Hefei 230027

Download: PDF (492 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  In this paper, a text extraction method for the complex color image with image enhancement by Symmetric Neighborhood Filters(SNF) is proposed. Firstly, the original image is enhanced by SNF and the generate edge feature map on the enhanced image is obtained. The candidate text regions are then generated by merging the bounding blocks which are extracted by utilizing the edgebased connectedcomponent searching method and taking the edgedivided color information into consideration. Finally, the texture and stroke feature of the text are used to eliminate the false candidates. Experimental results show this method can extract the text including Chinese and English characters accurately. It is the key point to ensure the success of extraction method that the original image is enhanced by SNF because SNF not only smoothes the interior of the image but keeps the true edges of the image.
Key wordsText Extraction      Symmetic Neighborhood Filters      Fusion of Multiple Features      Complex Scene     
Received: 03 June 2005     
ZTFLH: TP242.6+2  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
LIU XinXing
WANG ZengFu
Cite this article:   
LIU XinXing,WANG ZengFu. An Algorithm for Text Extraction in Complex Color Image[J]. , 2006, 19(6): 771-775.
URL:  
http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2006/V19/I6/771
Copyright © 2010 Editorial Office of Pattern Recognition and Artificial Intelligence
Address: No.350 Shushanhu Road, Hefei, Anhui Province, P.R. China Tel: 0551-65591176 Fax:0551-65591176 Email: bjb@iim.ac.cn
Supported by Beijing Magtech  Email:support@magtech.com.cn