A review on binarization algorithms for camera based natural scene images

Authors:
Rajesh K. Bawa;Ganesh K. Sethi
Affiliations:
Punjabi University, Patiala;Punjabi University, Patiala
Venue:
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Year:
2012

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Abstract

Text Information Extraction is a system that receives input in the form of a still image or a sequence of images and the output is only text part of the image, which is recognized by Optical character recognition (OCR). The problem of TIE can be divided into following sub-problems: (i) Text detection (ii) Text localization (iii) Text extraction and enhancement, and(iv)Text recognition. For the purpose of extracting text input image has to be binarized so as to make the recognition of text possible. In present paper several global and local image thresholding algorithms are reviewed for binarizing camera based natural scene(NS) images containing text.