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Handwritten Script Recognition Using DCT, Gabor Filter and Wavelet Features at Line Level

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Soft Computing Techniques in Vision Science

Part of the book series: Studies in Computational Intelligence ((SCI,volume 395))

Abstract

In a country like India where more number of scripts are in use, automatic identification of printed and handwritten script facilitates many important applications including sorting of document images and searching online archives of document images. In this paper, a multiple feature based approach is presented to identify the script type of the collection of handwritten documents. Eight popular Indian scripts are considered here. Features are extracted using Gabor filters, Discrete Cosine Transform, and Wavelets of Daubechies family. Experiments are performed to test the recognition accuracy of the proposed system at line level for bilingual scripts and later extended to trilingual scripts. We have obtained 100% recognition accuracy for bi-scripts at line level. The classification is done using k-nearest neighbour classifier.

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Authors and Affiliations

  1. Dept. of Computer Science, Gulbarga University, Gulbarga, 585106, Karnataka, India

    G. G. Rajput & H. B. Anita

Authors
  1. G. G. Rajput
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  2. H. B. Anita
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Correspondence to G. G. Rajput .

Editor information

Editors and Affiliations

  1. , Computer Science and Engineering, SOA University, Bhubaneswar, 752 024, India

    Srikanta Patnaik

  2. , School of Electronic Engineering, Kumoh National Institute of Technology, Yahoho-dong, Gyeongbuk 1, Gumi, 730-701, Korea, Republic of (South Korea)

    Yeon-Mo Yang

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Rajput, G.G., Anita, H.B. (2012). Handwritten Script Recognition Using DCT, Gabor Filter and Wavelet Features at Line Level. In: Patnaik, S., Yang, YM. (eds) Soft Computing Techniques in Vision Science. Studies in Computational Intelligence, vol 395. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25507-6_4

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  • DOI: https://doi.org/10.1007/978-3-642-25507-6_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25506-9

  • Online ISBN: 978-3-642-25507-6

  • eBook Packages: EngineeringEngineering (R0)

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