Recital Comparison of Bilingual Language Using Various Filters for Offline Handwritten Character

Optical Character Recognition (OCR) of multilingual document containing Offline Handwritten Character (OHC) in regional languages of India, it is necessary to identify different script forms before running an individual OCR of the scripts. In this paper, novel approaches for offline character recognition are written in south Indian languages such as Tamil and Kannada. Preprocessing is one of the most important phases in OCR development. It directly affects the efficiency of any OCR. In this process an extracting of basic constituent symbols of the script. Different methodologies which are growing rapidly in the area of character recognition is South Indian Languages. In this paper, it is mainly focused on the existing methodology used in different stages of OCR to recognize offline handwritten character of bilingual regional languages of South India such as Tamil and Kannada are reviewed, summarized and documented