Analysis and Comparison of various Methods for Text Detection from Images using MSER Algorithm
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Abstract
In this paper analysis and comparison of various methods for text detection is carried by using canny edge detection algorithm and MSER based method along with the image enhancement which results in the improved performance in terms of text detection. In addition, we improve current MSERs by developing a contrast enhancement mechanism that enhances region stability of text patterns to remove the blurring caused during the capture of image Lucy Richardson de blurring Algorithm is used.
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How to Cite
, D. D. S. A. K. P. (2017). Analysis and Comparison of various Methods for Text Detection from Images using MSER Algorithm. International Journal on Recent and Innovation Trends in Computing and Communication, 5(7), 759 –. https://doi.org/10.17762/ijritcc.v5i7.1130
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