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Recognition and Transcription of Archaic Handwritten Modi Script Document: A Thought-Provoking Crucial Research Area

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Recent Trends in Image Processing and Pattern Recognition (RTIP2R 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2026))

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Abstract

Massive volume of significant information is found in the archived handwritten Modi script historical documents. Automatic preprocessing and recognition of these Modi script documents is required for the number of reasons like document archiving, transcription, transliteration and so on. One crucial need is the information retrieval and at present, there are countable Modi script experts. Intelligent handwritten historical Modi script document recognition is a crucial research work. Each stage of this intelligent recognition system becomes complex due to number of reasons like cursive and stylish writing nature of Modi script and degraded unconstrained handwritten documents. To the best of our knowledge, there is no survey in this field and there is a need of an analysis to know the state-of-art. An attempt is made in this paper to present state-of-art in recognition of these documents and Modi script characters. It reflects necessity of this research for current era and focuses on the future perspective with challenges. It comprehensively presents analysis of the results reported up to the date for various methods proposed in the stages of the Modi script document recognition system such as degradation detection and removal; Skew Detection and Correction; text line and character segmentation; Modi script alphabet feature extraction and classification of the ancient handwritten Modi script document. The paper has a widespread bibliography of standard references as an encouragement for researchers working in the field of intelligent handwritten archaic Modi script document recognition.

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Authors and Affiliations

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

    Manisha S. Deshmukh & Satish R. Kolhe

Authors
  1. Manisha S. Deshmukh
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  2. Satish R. Kolhe
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Corresponding author

Correspondence to Manisha S. Deshmukh .

Editor information

Editors and Affiliations

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

    KC Santosh

  2. University of Derby, Derby, UK

    Aaisha Makkar

  3. University of Derby, Derby, UK

    Myra Conway

  4. Indian Institute of Information Technology, Bhopal, India

    Ashutosh K. Singh

  5. University of Clermont Auvergne, Aubière, France

    Antoine Vacavant

  6. ENSA - Cadi Ayyad University, Marrakesh, Morocco

    Anas Abou el Kalam

  7. Halmstad University, Halmstad, Sweden

    Mohamed-Rafik Bouguelia

  8. Central University of Karnataka, Kalaburagi, India

    Ravindra Hegadi

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Deshmukh, M.S., Kolhe, S.R. (2024). Recognition and Transcription of Archaic Handwritten Modi Script Document: A Thought-Provoking Crucial Research Area. In: Santosh, K., et al. Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2023. Communications in Computer and Information Science, vol 2026. Springer, Cham. https://doi.org/10.1007/978-3-031-53082-1_20

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  • DOI: https://doi.org/10.1007/978-3-031-53082-1_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-53081-4

  • Online ISBN: 978-3-031-53082-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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