Title: A brief review on HCR works of Indian scripts

Authors: Kalyanbrat Medhi; Diganta Kumar Pathak; Sanjib Kumar Kalita

Addresses: Department of Computer Science, Gauhati University, Guwahati, Assam, India ' Department of Computer Science, Birangana Sati Sadhani Rajyik Vishwavidyalaya, Golaghat, Assam, India ' Department of Computer Science, Gauhati University, Guwahati, Assam, India

Abstract: The aim of this paper is to describe the challenges faced by the researchers in the fields of optical character recognition (OCR) and handwritten character recognition (HCR) for Indian scripts. Several studies have been performed on OCR and HCR in Indian languages during the last few decades. The 11 Indian regional scripts are Devanagari, Bangla, Gujarati, Kannada, Malayalam, Oriya, Gurmukhi, Tamil, Assamese, Manipuri and Telugu. The aim of this paper is to present a review of the recent work done on OCR and the HCR of Indian scripts in the last few years, appearing in relevant conferences and journals. The survey is organised into five sections. Section 1 provides an introduction of various works, followed by components of OCR in Section 2. The properties of Indian scripts are presented in Section 3. Section 4 discusses different OCR methods and OCR research work done on Indian scripts. Section 5 concludes the paper.

Keywords: Indian scripts OCR; Indian handwritten character recognition; OCR survey; document analysis.

DOI: 10.1504/IJCVR.2026.156204

International Journal of Computational Vision and Robotics, 2026 Vol.17 No.3, pp.375 - 395

Accepted: 07 May 2024
Published online: 08 Sep 2026 *

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