Handwritten Indic Script Identification in Multi-Script Document Images: A Survey

Author:

Obaidullah Sk. Md.1,Santosh K. C.2ORCID,Das Nibaran3,Halder Chayan4,Roy Kaushik4

Affiliation:

1. Department of Computer Science and Engineering, Aliah University Kolkata, West Bengal, India

2. Department of Computer Science, The University of South Dakota, SD, USA

3. Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

4. Department of Computer Science, West Bengal State University, Kolkata, India

Abstract

Script identification is crucial for automating optical character recognition (OCR) in multi-script documents since OCRs are script-dependent. In this paper, we present a comprehensive survey of the techniques developed for handwritten Indic script identification. Different pre-processing and feature extraction techniques, including classifiers used for script identification, are categorized and their merits and demerits are discussed. We also provide information about some handwritten Indic script datasets. Finally, we highlight the extensions and/or future scope of works together with challenges.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

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