Edge Detection Using FPGA

Abstract

In today’s world of high technology, there is a greater need of conversion i.e. to convert the analog into
digital. Since commence of digital scanners in the computer world, there has been a need to convert books/text into
digital form which is viewable over the internet and/or on a computer. This is where the optical character recognition
comes in picture. The goal of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a
digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including
segmentation, feature extraction, and classification. Character recognition with FPGA makes a system that can work
more efficient and also in suitable cost. FPGA is a special circuit so the implementation of recognition blocks can be
easy. Use of FPGA will help us to facilitate the needed usage of recognition. By this scenario we can make system for
particular applications like reader for blind person, OCR for Forensic labs, Historical damaged books or monomials can
be extracted. The main purpose of this Dissertation is to make a system whi ch is efficient, cheap, easy to use and less
complex.