Efficient Recognition of Telugu Characters Based on Critical Points Generated Using Morphological Methods
نویسندگان
چکیده
A novel method for recognition of telugu character is proposed in this paper. The proposed method uses extraction of critical points of the characters based on grid and radial intersections analysis. The extracted critical points are classified based on the grid and radial lines, which helps in improving accuracy in recognition of characters. The algorithm is tested on various data sets and the results are satisfactory. The technique is a generic method in the sense that it is applicable for all Indian language scripts like Sanskrit, Hindi, Telugu, Kannada, Tamil, Malayalam, etc. Index Terms — Indian Languages, Grid based Intersecting Points Analysis, Radial Axis based Intersecting Points Analysis, Critical Points Analysis, Morphological Feature Extraction Methods, Optical Character Recognition.
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