12.Object Recognition

12.1 Pattern and Pattern Classes

12.2 Recognition Based on Decision - Theoretic Methods

12.2.1 Matching -Minimum distance classifier -Matching by correlation

12.2.2 Optimum Statistical Classifiers -Probability consideration become important in pattern recognition because of the randomness under which pattern classes are generated

12.3 Structural Methods

12.2.3 Neural Networks -Perceptron for two pattern classes -Training algorithms -Multilayer feedforward neural networks

12.3.1 Matching Shape Numbers -The degree of similarity between two region boundaries is defined as the largest order for which their shape numbers still coincide

12.3.2 String Matching -String were formed from the polygons by computing the interior angle between segments as each polygon was traversed clockwise