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IJSTR >> Volume 8 - Issue 11, November 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Comparative Analysis Of Advanced Classification Techniques For Multilingual Ocr Systems

[Full Text]

 

AUTHOR(S)

Rohit Verma, Dr. Jahid Ali

 

KEYWORDS

Image Recognition, Image Classification, neural networks, Optical Character Recognition (OCR), nearest neighbor classifier, Machine Learning, Support Vector Machine classifier.

 

ABSTRACT

Classification engineering is reported to be very critical and tedious task in the field of data, image and pattern recognition. Labelling the images into one of the earlier defined categories, is the responsibility of a typical classifier. Preprocessed image does require for decent results. For fantastic and fabulous achievements, image should be free from any kind of noise and should be normalized to the acceptable parameters. There are myriads of classification techniques but the most challenging aspect is to identify the best technique which could intelligently recognize optical characters on the basis of predefined features of characters. This paper elaborates extremely important classification techniques viz. K-Nearest Neighbors (KNN), Support Vector Machine (SVM) and Artificial Neural Networks (ANN) and Convolutional Neural Network (CNN). Various classification techniques are compare on the basis of literature so that the researchers could take the advantage and select the best possible technique for their objectives.

 

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