DocumentCode :
3532500
Title :
Research on the Text Detection and Extraction from Complex Images
Author :
Jian Zhang ; Renhong Cheng ; Kai Wang ; Hong Zhao
Author_Institution :
Coll. of Inf. Tech. Sci., Nankai Univ., Tianjin, China
fYear :
2013
fDate :
9-11 Sept. 2013
Firstpage :
708
Lastpage :
713
Abstract :
The text appears in the images is important for fully understanding the images. The number of digital images and digital videos has increased tremendously. Although there are many methods have been proposed over the past years for the text extraction from natural scene images, the text detection and extraction from born-digital images are still a challenge. In this paper, we describe existing methods key ideas and try to summarize their advantages and disadvantages. We try to find a new way which can Comprehensive utilize existing methods to detect and extract text from born-digital image.
Keywords :
character recognition; feature extraction; born-digital images; complex images; digital videos; natural scene images; text detection; text extraction; Feature extraction; Hidden Markov models; Image color analysis; Image edge detection; Image segmentation; Optical character recognition software; Videos; born-digital image; scene image; text detection; text extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Intelligent Data and Web Technologies (EIDWT), 2013 Fourth International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-2140-9
Type :
conf
DOI :
10.1109/EIDWT.2013.122
Filename :
6631707
Link To Document :
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