Abstract
Document image analysis analyzes the document images to extract the text and graphics information from image. Printed character recognition is important in the context of document image analysis. Machine learning Approach such as pattern recognition and matching can be applied to document image based printed character recognition. In this paper we discussed the Template Matching approach to printed character recognition. Template matching is found to be an effective technique to recognize printed character as compared to neural network and other classification techniques.
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References
Mollah, A.F., Majumder, N., Basu, S., Nasipuri, M.: Design of an Optical Character Recognition System for Camera-based Handheld Devices. IJCSI International Journal of Computer Science Issues 8(4), No.1 (June 2011)
Kavallieratou, E., Daskas, F.: Text Line Detection and Segmentation: Uneven Skew Angles and Hill-and-Dale Writing. Journal of Universal Computer Science 17(1), 16–29 (2010)
Nagy, G.: State of Art of Document Image Processing. In: 2008 SSDI P, GN, Bangalore (2008)
Park, J., Dinh, T.N., Lee, G.: Binarization of Text Region based on Fuzzy Clustering and Histogram Distribution in Signboards. In: World Academy of Science, Engineering and Technology 43 (2008)
Sushma, J., Padmaja, M.: Text Detection in Color Images. IEEE, IAME (2009); 978-1-4244-4711-4/09©2009
Gao, J., Yang, J.: An Adaptive Algorithm for Text Detection from Natural Scenes. In: Proceedings of the 2001 IEEE Conference on Computer Vision and Pattern Recognition (December 2001)
Jung, K., Kim, K.I., Jain, A.K.: Text Information Extraction in Images and Video: A Survey. Pattern Recognition 37, 977–997 (2004)
O’Gorman, L., Kasturi, R.: Document Image Analysis. Library of Congress, Number 97-17283, ISBN 0-8186-7802-X
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© 2013 Springer India
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Aghav, S., Paygude, S. (2013). An Approach for Document Image Based Printed Character Recognition. In: Kumar M., A., R., S., Kumar, T. (eds) Proceedings of International Conference on Advances in Computing. Advances in Intelligent Systems and Computing, vol 174. Springer, New Delhi. https://doi.org/10.1007/978-81-322-0740-5_127
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DOI: https://doi.org/10.1007/978-81-322-0740-5_127
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-0739-9
Online ISBN: 978-81-322-0740-5
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