A Comparative Study of Text Detection Algorithms for Natural Scenes
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2015, Vol 4, Issue 9
Abstract
Text detection from image is highly needed application in current techno world. However, text detection is no longer an unsolved problem as many approaches/algorithms for it are encouraged by researchers. Algorithms used for text detection can be categorized by their nature of work, approach used in algorithm development, behavior of algorithm on a dataset and performance of the algorithm. To make a successful use of these available algorithms, one should have the complete information about these algorithms as well as the application on which they want to use the algorithm. Hence, in this paper we present the comparative study of the selected three text detection algorithms. We have studied three different algorithms Stoke width Transform, Adaptive algorithm and Text Localization.
Authors and Affiliations
Ameya Shanbhag, Ronak Thakkar, Harsh Patel
Keywords
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