Text Information Extraction: in Context of Indian Languages

Abstract:

Text data present in images contains useful information and its extraction involves detection, localization, extraction, enhancement and recognition. However, the problem is challenging due to fact that text can have various styles, size, orientations, alignments, effect of lighting conditions. While a large number of techniques have been proposed in the past for extracting text from images and video frames for foreign languages, not much research has been carried out for Indian languages. The purpose of this paper is to review various algorithms for the problem for foreign as well as for the for the Indian languages.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 5012-5019
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.5012
• Online since: January 2012
• Authors: Ganesh K. Sethi, Rajesh K. Bawa
• Keywords: Optical Character Recognition (OCR), Text Enhancement, Text Information Extraction (TIE), Text Localization

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