Fast Image Embedded Chinese Text Extracting by Homogeneous Space Mapping
Journal of Electrical and Electronic Engineering
Volume 5, Issue 3, June 2017, Pages: 86-91
Received: May 14, 2017; Published: May 16, 2017
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Authors
Li Ying, School of Electronic Engineering, Xidian Univercity, Xi'an, China
Liu Lisha, School of Electronic Engineering, Xidian Univercity, Xi'an, China
Cui Yan-peng, Institute for Internet Behavior, Xidian Univercity, Xi'an, China
Zhuang Huaiyu, China Mobile Group Guangdong Co.,Ltd. Guangzhou, China
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Abstract
Text-embedded images are popular in the mobile Internet to spread malicious information. A fast text-embedded image Chinese text extracting algorithm based on homogeneous space mapping is proposed. Image enhancement functions are used to highlight edge and texture features of images. Sobel operator is used to extract the edge feature and wavelet packet is used to extract the 24-dimensional texture feature vectors in the enhanced images. The texture features and edge features are used to describe the homogeneity of an image, which construct the homogeneous feature map of the image. The differences between the non-text and the text region homogeneity are used to distinguish them and reduce non-text region further. Thus the text regions are highlighted. Then, homogeneous text samples are used to train the text region detector, which greatly reduces the computational complexity. Finally, the characters are segmented and recognized. Some experiments to verify the validity and practicability of the proposed algorithm have been conducted. The recognition rate achieves 86%, which is higher than that of other methods in industry. The algorithm is verified on the operator's malicious information monitoring system, which provides secure malicious filtering performance.
Keywords
Chinese Text Embedded Image, Homogeneous Mapping, Text Extraction, Information Security
To cite this article
Li Ying, Liu Lisha, Cui Yan-peng, Zhuang Huaiyu, Fast Image Embedded Chinese Text Extracting by Homogeneous Space Mapping, Journal of Electrical and Electronic Engineering. Vol. 5, No. 3, 2017, pp. 86-91. doi: 10.11648/j.jeee.20170503.11
References
[1]
Yao Cong, Bai Xiang, Liu Wenyu, et al. Detecting texts of arbitrary orientation in natural images [C], 2012 IEEE conference on computer Vision and Patten Recognition (CVPR). IEEE, 2012:1083-1090.
[2]
Epshtein Boris, Ofek Eyal, Wexler Yonatan. Detecting text in natural scenes wstroke width transform [C], 2010 IEEE conference on Computer Vision a Pattern Recognition (CVPR). IEEE, 2010:2963-2970.
[3]
Li Xueyan, GuoShuxu, GaoFengli. Text extraction in video based on wavelet modulus maximum [J], Computer Engineering, 2007, 33(5): 26-28.
[4]
Zhao Ming Li Shutao, Kwok James. Text detetion in images using sparse representation with discriminative dictionaries [J]. Image and Vision Computing, 2010, 28(12):1590-1599.
[5]
Park Jonghyun, Lee Gueesang, Kim Euichul,et al. Automatic detection and recognition of Korean text in outdoor signboard image [J], Pattern Recognition Letters. 2010, 31(12):1728-1239.
[6]
Ikica, Andrej, Peer, Peter. An improved edge profile based method for text detection in images of natural scenes [C] EUROCON-Intenational Conference on Computer as a Tool (EUROCON). IEEE, 2011:1-4.
[7]
Yan Jianqiang, Tao Dacheng, Tian Cunna, Gao Xinbo, Li Xulong. Chinese Text Detection and Location for Images in Multimedia Messaging Service[C], //Proc of Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on, Istanbul Turkey: IEEE Conference Publications,2010: 3896-3901.
[8]
Zhong Yu, Zhang Hongjiang, Anil K. Jain. Automatic Caption Localization in Compressed Video [J], IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(4):385-392.
[9]
Lienhart R, Wernicke A. Localizing and Segmenting Text in Images and Videos[J], IEEE Transactions on Circuits and Systems for Video Technology, 2002,12(4):256-268.
[10]
Wonjun K, Changick K. A New Approach for Overlay Text Detection and Extraction from Complex Video Scene [J], IEEE Transactions on Image Processing, 2009, 18(2):401-411.
[11]
Pratheeba T, Kavitha V, Rajeswari S R. Morphology based Text Detection and Extraction from Complex Video Scene [J], International Journal of Engineering and Technology, 2010, 2(3): 200-206.
[12]
LI Ying, ZHUANG Huaiyu, LI Xiangwei, A New Technique on Text Region Location in Images, Journal of Xidian University,2013,40(6):187-192.
[13]
LI Ying, CUI Yan-peng, GAO Xin-bo, A Novel Algorithm for Text Data Compression Based on Arithmetic Codec, Journal of University of Electronic Science and Technology of China, 2016, 45(6): 929-933
[14]
Huang Jianhua, Cheng Hengda, Wu Rui. Text Detection Method Based on Fuzzy Homogeneity Mapping [J]. Journal of Electronics and Information Technology, 2008, 30(6): 1376-1380.
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