Performance Analysis of Filters on Complex Images for Text Extraction through Binarization
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 1
Abstract
Text data present in image contain useful information and extraction of text from complex images is an extremely difficult task and challenging job due to variation in style, font,alignment,background intensity, illumination and various other factors. Image binarization is a technique in which text is extracted from image in dual color i.e. black and white. The extracted text will be in black color and background will be in white color. A suitable threshold value is calculated from the pixels of the input image. Existing research has been shown that different image require different method for detection or extraction of text. Filters are used for removing the noise from images and preserving the edges of text in images.. In this paper, we are doing the performance analysis of image filters on complex images for text extraction through binarization using analytical simulation in MATLAB.
Authors and Affiliations
Dixcha Gusain, Binay Kumar Pandey, Hardwari Lal Mandoria
Keywords
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