A Survey on Handwritten Recognition for Telug...

A Survey on Handwritten Recognition for Telugu Language using Neural Networks

Author Name : V S Roja Rani Gudapalasa, Dr. V K Senthil Ragavan

ABSTRACT Text in the image file will not be in editable format on computer. Optical Character Recognition (OCR) is the process to understand the text in the image, either printed or handwritten and creates a file with the text in the image file that can be editable on the computer. OCR for English language is well developed. At present day there is a need of OCR for Indian languages to preserve historical documents which are written mostly in Indian languages, to organize books in library and for application form processing etc. OCR for Telugu language is difficult as a consonant or single vowel forms a single character or it can be a combination of vowels and consonants that can form a compound character. This paper presents survey on methodologies used in OCR system for Telugu Language till now.