期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：2
DOI：10.15680/ijircce.2015.0302003
出版社：S&S Publications
摘要：Text in images contain important contents for information indexing and retrieval, automatic annotationand structuring of images. Hence text extraction is the crucial stage of analyzing the images. The steps involved in textextraction algorithms are detection, localization, binarization, extraction, enhancement, and recognition of text from theimage. Text extraction is a very challenging task due to the variations in text size, font, style, orientation and alignmentas well as complex background. Several text extraction techniques based on edge detection, connected componentanalysis, morphological operators, wavelet transform, texture features, neural network etc. have been developed. Thispaper provides a review of the various techniques suggested by researchers and their comparative analysis in terms ofprecision rate, recall rate, detection rate etc.
