Notification: Our email services are now fully restored after a brief, temporary outage caused by a denial-of-service (DoS) attack. If you sent an email on Dec 6 and haven't received a response, please resend your email.
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Text Extraction and Recognition from Image using Neural Network

by C. Misra, P. K. Swain, J. K. Mantri
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 40 - Number 2
Year of Publication: 2012
Authors: C. Misra, P. K. Swain, J. K. Mantri
10.5120/4927-7156

C. Misra, P. K. Swain, J. K. Mantri . Text Extraction and Recognition from Image using Neural Network. International Journal of Computer Applications. 40, 2 ( February 2012), 13-19. DOI=10.5120/4927-7156

@article{ 10.5120/4927-7156,
author = { C. Misra, P. K. Swain, J. K. Mantri },
title = { Text Extraction and Recognition from Image using Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 40 },
number = { 2 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 13-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume40/number2/4927-7156/ },
doi = { 10.5120/4927-7156 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:27:00.795124+05:30
%A C. Misra
%A P. K. Swain
%A J. K. Mantri
%T Text Extraction and Recognition from Image using Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 40
%N 2
%P 13-19
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Extraction and recognition of text from image is an important step in building efficient indexing and retrieval systems for multimedia databases. Our primary objective is to make an unconstrained image indexing and retrieval system using neural network. We adopt HSV based approaches for color reduction. This approach show impressive results. We extract a set of features from each ROI for that specific color plane and use them further in a feature-based classifier to determine if the ROI contains text or non-text blocks. The blocks identified as text are next given as input to an OCR. The OCR output in the form of ASCII characters forming words is stored in a database as keywords with reference for future retrieval.

References
  1. Niblack, W. 1993. The QBIC Project: Querying Images by Content Using Color, Texture and Shape. In Proc. Storage and Retrieval for Image and Video Databases, SPIE Bellingham, Wash,173-187
  2. Bach, J. R, Fuller, C., Gupta, A., Hampapur, A., and Horowitz, B. 1996. Virage Image Search Engine: An Open Framework for Image Management. In Proc. of SPIE-1996, 76-87.
  3. Ma, M. Y., and Manjunath, B. S. 1999. Ne Tra: A Toolbox for Navigating Large Image Databases. Journal Multimedia System, Springer Berlin, 184-198.
  4. Wang, J.Z., Li, J., and Wiederhold,G. 2001, SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture Libraries. IEEE Transactions on Pattern Analysis and Machine, 947-963.
  5. Byun, H.R., Roh, M.C., Kim, K.C., Choi, Y.W., and Lee, S.W. 2002. Scene Text Extraction in Complex Images. In Proc. DAS-2002, LNCS 2423. 329-340.
  6. Jain, A.K., and Yu, B. 1998. Automatic Text Location in Images and Video Frames, Pattern Recognition Society. Vol. 31(12), 2055-2076.
  7. Hasan, Y. M.Y., and Karam, L.J. 2000. Morphological Text Extraction from Images. IEEE Transactions on Image Processing, Vol 9(11), 1978-1982.
  8. Wolf, C., and Jolion, J.M. 2004. Model Based Text Detection in Images and Videos: A Learning Approach. Technical Report LIRIS RR.
  9. Hao, Y., Yi, Z., Zeng-Guang H., and Min, T. 2003. Automatic Text Detection in Video Frames Based on Bootstrap Artificial Neural Network and CED. Journal of Winter School of Computer Graphics (WSCG), Vol. 11.
  10. Misra, C., and Swain, P.K. 2011. An Automated HSV Based Text Tracking System from Complex Color Video. LNCS,Vol 6536, 255-260.
  11. Yi, J., Peng, Y., and Xiao, J. 2007. Color-Based Clustering for Text Detection and Extraction in Image. In Proc. of the 15th International Conference on Multimedia, ACM Press, 847-850.
Index Terms

Computer Science
Information Sciences

Keywords

Text extraction recognition multimedia indexing image retrieval

Powered by PhDFocusTM