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A Modified Approach for the Segmentation of Unconstrained Cursive Modi Touching Characters Cluster

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Recent Trends in Image Processing and Pattern Recognition (RTIP2R 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1380))

Abstract

In this paper, a robust character segmentation approach for cursive handwritten Modi script touching character cluster is presented. Prior to segmentation, the middle text region of the touching character cluster is separated by examining the location of Shirorekha and baseline. The middle text region is scrutinized for the estimation of ligature between two characters. Two different strategies are employed to find the location of the ligature. The selection of the strategy is based on the degree of connected component overlapratio. The foreground pixel intensity and vertical projection profile is scrutinized to segment the touching characters. The performance of the system is tested using the touching character clusters of the original archaic handwritten Modi documents. The proposed approach yields efficient touching characters cluster segmentation output and it is feasible to tackle most of the challenges in touching character cluster segmentation.

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Authors and Affiliations

  1. School of Computer Sciences, Kavayitri Bahinabai Chaudhari North Maharashtra University, Jalgaon, Maharashtra, India

    Manisha S. Deshmukh & Satish R. Kolhe

Authors
  1. Manisha S. Deshmukh
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  2. Satish R. Kolhe
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Correspondence to Manisha S. Deshmukh .

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Editors and Affiliations

  1. University of South Dakota, Vermillion, SD, USA

    K. C. Santosh

  2. Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India

    Bharti Gawali

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Deshmukh, M.S., Kolhe, S.R. (2021). A Modified Approach for the Segmentation of Unconstrained Cursive Modi Touching Characters Cluster. In: Santosh, K.C., Gawali, B. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2020. Communications in Computer and Information Science, vol 1380. Springer, Singapore. https://doi.org/10.1007/978-981-16-0507-9_36

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  • DOI: https://doi.org/10.1007/978-981-16-0507-9_36

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-0506-2

  • Online ISBN: 978-981-16-0507-9

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