Feature Extraction and Classification Technique in Neural Network
Kaushik Adhikary, Amit Kumar · International Journal of Computer Applications · 2011
Feature extraction is the heart of an object recognition system. In recognition problem, features are utilized to classify one class of object from another. The original data is usually of high dimensionality. The objective of the feature extraction is to classify the object, and further to reduce the dimensionality of the measurement space to a space suitable for the application of object classification techniques. In the feature extraction process, only the salient features necessary for the recognition process are retained such that the classification can be implemented on a vastly reduced feature set. In paper we are going to discuss the feature as well as classification technique used in neural network.