Read and recognition of old Kannada stone inscriptions characters using novel algorithm

Invention of computer has made remarkable impact in all walks of life. Computer vision or Machine Vision has made our life simple and more dynamic. In the present work a successful attempt has been made using computer version technique to recognize and read the stone inscriptions belongs to ancient Kannada Characters. Conventional method is preparing such digital document take enormous amount of time, energy and money. The present approach provides an easy method of digitalization of stone inscriptions using simple camera. The techniques used here is simple and effective in removing noise and to recognize the characters in different condition like faded and unprotected old stone inscriptions. In this work a novel approach called Mean, Standard deviation and Sum of Absolute difference Algorithm (MSDDA) is proposed. Here in the present work, the Hoysala and Ganga periods characters are stored in a template. The character is identified based on its Mean, standard deviation and sum of absolute difference values. The corresponding recognized characters are converts into present Kannada script. An experimental result demonstrates high accuracy and better time efficiency in recognizing old Kannada stone inscriptions.