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Toward Recognition and Classification of Hindi Handwritten Document Image

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Ambient Communications and Computer Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 904))

Abstract

With the increased demand of digitization of Indic scripts in today’s world, many Devanagari printed and handwritten text recognition and extraction techniques have been developed and are used in industries, corporate, and institutional domain areas. Because of the script and character structure difficulties, and handwritten content-based criticalities, Hindi handwriting processing is considered as a big bottleneck in recognition systems. This paper introduces NMC handwriting types and complexity evaluators for Hindi language. The inherent challenges of handwriting are discussed further. Although several Hindi-based handwritten character recognizers have been developed, they are limited to the segmentation and identification of character images only. So, this paper proposes a new idea of offline Hindi handwritten document classification, which first recognizes and classifies the character images, and then classifies the document image into the predefined category. In support of this concept, this paper provides a case study using a set of Hindi handwritten documents and shows their segmentation and classification results. The proposed system puts a step ahead in the direction of automatic document image classification.

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Authors and Affiliations

  1. Department of Computer Science, BIT, Mesra, Ranchi, Jharkhand, India

    Shalini Puri & Satya Prakash Singh

Authors
  1. Shalini Puri
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  2. Satya Prakash Singh
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Correspondence to Shalini Puri .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Management, Providence University, Taichung, Taiwan

    Yu-Chen Hu

  2. Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Shailesh Tiwari

  3. Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India

    Krishn K. Mishra

  4. Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Munesh C. Trivedi

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Puri, S., Singh, S.P. (2019). Toward Recognition and Classification of Hindi Handwritten Document Image. In: Hu, YC., Tiwari, S., Mishra, K., Trivedi, M. (eds) Ambient Communications and Computer Systems. Advances in Intelligent Systems and Computing, vol 904. Springer, Singapore. https://doi.org/10.1007/978-981-13-5934-7_44

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  • DOI: https://doi.org/10.1007/978-981-13-5934-7_44

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5933-0

  • Online ISBN: 978-981-13-5934-7

  • eBook Packages: EngineeringEngineering (R0)

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