Open AccessDesign of an OCR System and its Hardware Implementation
Author(s) -
Gulfeshan Parween
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.39217
Subject(s) - optical character recognition , computer science , preprocessor , artificial intelligence , artificial neural network , document processing , feature (linguistics) , segmentation , pattern recognition (psychology) , character (mathematics) , barcode , intelligent word recognition , feature extraction , font , computer vision , speech recognition , intelligent character recognition , image (mathematics) , character recognition , philosophy , linguistics , geometry , mathematics , operating system
In this paper, we present a scheme to develop to complete OCR system for printed text English Alphabet of Uppercase of different font and of different sizes so that we can use this system in Banking, Corporate, Legal industry and so on. OCR system consists of different modules like preprocessing, segmentation, feature extraction and recognition. In preprocessing step it is expected to include image gray level conversion, binary conversion etc. After finding out the feature of the segmented characters artificial neural network and can be used for Character Recognition purpose. Efforts have been made to improve the performance of character recognition using artificial neural network techniques. The proposed OCR system is capable of accepting printed document images from a file and implemented using MATLAB R2014a version. Key words: OCR, Printed text, Barcode recognition