Offline Handwritten Character Recognition with Devnagari Script

Abstract

Handwriting recognition is the ability of a computer to receive and interpret intelligible handwritten input from sources such as photographs, touch-screens, paper documents and other devices. Written text image may be sensed off line from a piece of paper by optical scanning (optical character recognition). Devnagari script has 14 vowels and 33 consonants. Vowels occur either in isolation or in combination with consonants. Apart from vowels and consonants characters called basic characters, compound characters are there in Devnagari script, which are formed by joining two or more basic characters. Coupled to this in Devnagari script there is a practice of having twelve forms of modifiers with each for 33 consonants, giving rise to modified shapes which, depends on whether the modifier is placed to the left, right, top or bottom of the character. The net result is that there are several thousand different shapes or patterns, which makes Devnagari OCR more difficult to develop. Here focus is on the recognition of offline handwritten Hindi characters that can be used in common applications like commercial forms , bill processing systems ,bank cheques, , government records, , Signature Verification ,Postcode Recognition, , passport readers, offline document recognition generated by the expanding technological society .In this project , by the use of templet matching algorithm devnagari script characters are OCR from document images.