A Texture Based Methodology for Text Region Extraction from Low Resolution Natural Scene Images

Automated systems for understanding display boards are finding many applications useful in guiding tourists, assisting visually challenged and also in providing location aware information. Such systems require an automated method to detect and extract text prior to further image analysis. In this paper, a methodology to detect and extract text regions from low resolution natural scene images is presented. The proposed work is texture based and uses DCT based high pass filter to remove constant background. The texture features are then obtained on every 50x50 block of the processed image and potential text blocks are identified using newly defined discriminant functions. Further, the detected text blocks are merged and refined to extract text regions. The proposed method is robust and achieves a detection rate of 96.6% on a variety of 100 low resolution natural scene images each of size 240x320.

[1]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[2]  Anil K. Jain,et al.  Locating text in complex color images , 1995, Pattern Recognit..

[3]  Anil K. Jain,et al.  Learning Texture Discrimination Masks , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Edward M. Riseman,et al.  Finding text in images , 1997, DL '97.

[5]  Gregory D. Abowd,et al.  Cyberguide: A mobile context‐aware tour guide , 1997, Wirel. Networks.

[6]  Dov Dori,et al.  A Proposed Scheme for Performance Evaluation of Graphics/Text Separation Algorithms , 1997, GREC.

[7]  Yasuhiko Watanabe,et al.  Translation camera , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[8]  Hang Joon Kim,et al.  Neural network-based text location for news video indexing , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[9]  Hang Joon Kim,et al.  Locating car license plates using neural networks , 1999 .

[10]  Edward M. Riseman,et al.  TextFinder: An Automatic System to Detect and Recognize Text In Images , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  Anil K. Jain,et al.  Automatic caption localization in compressed video , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[12]  Chris Schmandt,et al.  Location-Aware Information Delivery with ComMotion , 2000, HUC.

[13]  David S. Doermann,et al.  A video text detection system based on automated training , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[14]  David S. Doermann,et al.  Automatic text detection and tracking in digital video , 2000, IEEE Trans. Image Process..

[15]  Ching Y. Suen,et al.  Character string extraction from color documents , 2001, Pattern Recognit..

[16]  Keechul Jung,et al.  Neural network-based text location in color images , 2001, Pattern Recognit. Lett..

[17]  Ismail Haritaoglu.  Scene text extraction and translation for handheld devices , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[18]  JungHyun Han,et al.  Text scanner with text detection technology on image sequences , 2002, Object recognition supported by user interaction for service robots.

[19]  Korris Fu-Lai Chung,et al.  Hybrid Chinese/English text detection in images and video frames , 2002, Object recognition supported by user interaction for service robots.

[20]  Beom-Joon Cho,et al.  Locating characters in scene images using frequency features , 2002, Object recognition supported by user interaction for service robots.

[21]  Adrian David Cheok,et al.  22nd International Conference on Human-Computer Interaction with Mobile Devices and Services , 2007, Lecture Notes in Computer Science.

[22]  Majid Mirmehdi,et al.  Text selection by structured light marking for hand-held cameras , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

[23]  Lambert Schomaker,et al.  Text detection from natural scene images: towards a system for visually impaired persons , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[24]  Konrad Tollmar,et al.  IDeixis: image-based Deixis for finding location-based information , 2004, CHI EA '04.

[25]  Bernard Gosselin,et al.  An Embedded Application for Degraded Text Recognition , 2005, EURASIP J. Adv. Signal Process..

[26]  Konrad Tollmar,et al.  A picture is worth a thousand keywords: image-based object search on a mobile platform , 2005, CHI Extended Abstracts.

[27]  Dzulkifli Mohamad,et al.  A simple segmentation approach for unconstrained cursive handwritten words in conjunction with neural network , 2008 .

[28]  Hassan Basri,et al.  Real time road sign recognition system using artificial neural networks for bengali textual information box , 2008, 2008 International Symposium on Information Technology.

[29]  Chitrakala Gopalan.  Text Region Segmentation From Heterogeneous Images , 2008 .

[30]  Xianglong Tang,et al.  A Text Image Segmentation Method Based on Spectral Clustering , 2008, Comput. Inf. Sci..