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Script identification algorithms: a survey

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Abstract

Script identification is being widely accepted techniques for selection of the particular script OCR (Optical Character Recognition) in multilingual document images. Extensive research has been done in this field, but still it suffers from low identification accuracy. This is due to the presence of faded document images, illuminations and positions while scanning. Noise is also a major obstacle in the script identification process. However, it can only be minimized up to a level, but cannot be removed completely. In this paper, an attempt is made to analyze and classify various script identification schemes for document images. The comparison is also made between these schemes, and discussion is made based upon their merits and demerits on a common platform. This will help the researchers to understand the complexity of the issue and identify possible directions for research in this field.

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  1. Department of Electronics and Communication Engineering, Centre for VLSI and Nanotechnology, Visvesvaraya National Institute of Technology, Nagpur, Maharashtra, India

    Parul Sahare & Sanjay B. Dhok

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Sahare, P., Dhok, S.B. Script identification algorithms: a survey. Int J Multimed Info Retr 6, 211–232 (2017). https://doi.org/10.1007/s13735-017-0130-2

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