PR overview-Feature extraction-Statistical Pattern Recognition-Supervised Learning-Parametric methods-Non parametric methods; ML estimation-Bayes estimation-k nn approaches-Linear discriminat functions-Unsupervised learning and clustering-Syntactic Pattern recognition-Graphical approaches to PR-Neural PR-Content addressable memory.

Same as Reference

1.    Roberrt Schalkoff , Pattern Recognition: Statistical, Structural And Neural Approaches, John Wiley & Sons, 1991.
2.    Richard O. Duda, Peter E. Hart, David G. Stork, Pattern Classification, 2nd Edition, Wiley, 2000.