Publication Type:

Conference Paper

Source:

ACT 2009 - International Conference on Advances in Computing, Control and Telecommunication Technologies, Trivandrum, Kerala (2009)

ISBN:

9780769539157

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-77949312205&partnerID=40&md5=66cabfd0884c4905136ceaa8b91f1cca

Keywords:

2-D Gabor filter, Average running time, Feature extraction, Feature extraction techniques, Gabor filter, Gabor filters, Optical character recognition, Recognition rates, Research fields, Robust technique, Texture analysis

Abstract:

Optical Character Recognition (OCR) is a classical research field and has become one of most thriving applications in the field of pattern recognition. Feature extraction is a key step in the process of OCR, which in fact is a deciding factor of the accuracy of the system. This paper proposes a novel and robust technique for feature extraction using Gabor Filters, to be employed in the OCR. The use of 2D Gabor filters is investigated and features are extracted using these filters. The technique generally extracts fifty features based on global texture analysis and can be further extended to increase the number of features if necessary. The algorithm is well explained and is found that the proposed method demonstrated better performance in efficiency. In addition, experimental results show that the method gains high recognition rate and cost reasonable average running time. © 2009 IEEE.

Cite this Research Publication

Dr. Ramanathan R., Nair, A. S., Thaneshwaran, L., Ponmathavan, S., Valliappan, N., and Soman, K. P., “Robust feature extraction technique for optical character recognition”, in ACT 2009 - International Conference on Advances in Computing, Control and Telecommunication Technologies, Trivandrum, Kerala, 2009.