GRAPHICAL USER INTERFACE BASED OPTICAL CHARACTER RECOGNITION USING MATLAB
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.7, No. 5)Publication Date: 2018-05-30
Authors : Jyoti Dalal; Sumiran Daiya;
Page : 398-405
Keywords : OCR; Boundary Detection & noise removal; Feature Extraction;
Abstract
Optical character recognition (OCR) is becoming a powerful tool in the field of Character Recognition, now a days. In the existing globalized environment, OCR can play a vital role in different application fields. Basically, OCR technique converts images into editable format. This technique converts images in the form of documents such as we can edit, modify and store data more safely for longtime. This paper presents basic of OCR technique with its components such as pre-processing, Feature Extraction, Classification, post-processing etc. There are various techniques have been implemented for the recognition of character. This Review also discusses different ideas implemented earlier for recognition of a character. This paper may act as a supportive material for those who wish to know about OCR.
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Last modified: 2018-05-18 21:33:23