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Word-Level Handwritten Script Identification from Multi-script Documents

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Recent Advances in Information Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 266))

Abstract

In this paper, we present the directional discrete cosine transform (DCT) based rotation invariant features for word-level handwritten script identification. Our aim in this paper is two folds: one is to validate the effectiveness of the directional DCT (D-DCT) in extracting edge information of the studied word image and another is to provide rotation invariant property since conventional DCT (C-DCT) does not offer both issues. For each extracted word image, we compute DCT, its coefficient matrix and decompose into different directions such as horizontal, vertical, left and right diagonals plus mean and standard deviations of the decomposed components. These statistical features are then evaluated with hundreds of word images from six different scripts by using linear discriminant analysis (LDA) and achieved an accuracy of 97.35 % in average.

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Author information

Authors and Affiliations

  1. Karnatak Arts, Science and Commerce College, Bidar, Karnataka, India

    Mallikarjun Hangarge

  2. Communications Engineering Branch, US National Library of Medicine National Institutes of Health, Bethesda, MD, USA

    K. C. Santosh

Authors
  1. Mallikarjun Hangarge
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  2. K. C. Santosh
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Corresponding authors

Correspondence to Mallikarjun Hangarge or K. C. Santosh .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, Indian School of Mines, Dhanbad, Dhanbad, Jharkhand, India

    G. P. Biswas

  2. Computer Science and Engineering, Indian School of Mines, Dhanbad, Dhanbad, Jharkhand, India

    Sushanta Mukhopadhyay

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Hangarge, M., Santosh, K.C. (2014). Word-Level Handwritten Script Identification from Multi-script Documents. In: Biswas, G., Mukhopadhyay, S. (eds) Recent Advances in Information Technology. Advances in Intelligent Systems and Computing, vol 266. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1856-2_6

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  • DOI: https://doi.org/10.1007/978-81-322-1856-2_6

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1855-5

  • Online ISBN: 978-81-322-1856-2

  • eBook Packages: EngineeringEngineering (R0)

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