Pradeep C.H

Work place: Department of Computer Science, Amrita Vishwa Vidyapeetham, Amrita University, Mysore, India



Research Interests: Image Processing, Image Manipulation, Image Compression, Pattern Recognition


Pradeep C.H is pursuing his MCA degree in department of Computer Science, Amrita Vishwa Vidyapeetham, Mysore. He is placed in Payoda technologies, Coimbatore as a software engineer. His areas of research include Digital image processing and pattern recognition.

Author Articles
A Performance Efficient Technique for Recognition of Telugu Script Using Template Matching

By N. Shobha Rani Vasudev T Pradeep C.H

DOI:, Pub. Date: 8 Aug. 2016

Feature extraction and classification processes while developing Optical Character Recognition (OCR) systems involve massive computations and quite expensive especially for South Indian scripts. Multiple combinations of vowels and consonants along with its modifiers led to generation of huge number of classes with respect to character recognition systems. The feature extraction and classification of characters from such huge number of classes in south Indian language OCRs remains as a non-trivial problem. This paper proposes a technique for feature extraction and classification of Telugu handwritten script based on customized template matching approach with the support of caching technique for better performance. The technique of caching is implemented using main database with a cache database maintaining the frequently used character templates for set of all character templates. The XML database is used for defining the classes for various character templates and the class representations are provided using a novel class structure designed based on XML tags. The proposed system exhibits the recognition efficiency on our own test dataset with an overall accuracy of 83.55% for handwritten characters.

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