Arshi salamat1, Aleem Ali2, Sushma2
1Electrical Engg Section, F/O Engg, University Polytechnic, JMI, New Delhi-110025, India.
2Jamia Hamdard (Hamdard University), Hamdard Nagar, New Delhi 110062, India.
ABSTRACT
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. Read more…
