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Year : 2011  |  Volume : 2  |  Issue : 3  |  Page : 103  

Character recognition


1 Electrical Engg Section, F/O Engg, University Polytechnic, JMI, New Delhi-110025, India
2 Jamia Hamdard (Hamdard University), Hamdard Nagar, New Delhi 110062, India

Date of Web Publication26-May-2012

Correspondence Address:
Aleem Ali
Jamia Hamdard (Hamdard University), Hamdard Nagar, New Delhi 110062
India
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Source of Support: None, Conflict of Interest: None


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How to cite this article:
salamat A, Ali A, Sushma. Character recognition. J Nat Sc Biol Med 2011;2, Suppl S1:103

How to cite this URL:
salamat A, Ali A, Sushma. Character recognition. J Nat Sc Biol Med [serial online] 2011 [cited 2020 Jul 8];2, Suppl S1:103. Available from: http://www.jnsbm.org/text.asp?2011/2/3/103/96055

The objective of this review paper is to discuss and compare some aspect of pattern recognition, among the various framework in which pattern recognition has been traditionally formulated. The primary goal of pattern recognition is supervised or unsupervised classification. More recently, neural network techniques and methods imported from statistical learning theory have been receiving increasing attention. The design of a recognition system requires careful attention to the following issues: definition of pattern classes, sensing environment, pattern representation, feature extraction and selection, cluster analysis, classifier design and learning, selection of training and test samples, and performance evaluation.




 

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