Paper Title
General Review Of Various Text Extraction Techniques

Abstract
Text extraction in images is an important research field in visual content understanding and retrieval, automatic explanation and structuring of images. Text extraction from image involves detecting the text from given image, finding the presence of text location, extraction, enhancement and recognition of text from the given image. Text detection in natural images has gained much attention in the last years as it is a primary step towards text recognition as well as it describes the content of an image. It needs to be accurate, efficient and robust against the variations of text in images. A lot of work has been done for detecting text in images and a lot has to be done. A large number of techniques have been proposed to address this problem and the purpose of this paper is to classify and review various text extraction algorithms, discuss the performance evaluation and challenges for future research. Keywords- Text Detection, Localization, Extraction, OCR

Author - Aditi Samadhiya, Pallavi Khatri

Published : Volume-2, Issue-1  ( Jan, 2015 )

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