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What is Statistical and Neural Classification Methods about?

Feature extraction involves extracting relevant features from objects or alphabets to build feature vectors, which are then used by classifiers to identify inputs. Several techniques can extract features, such as directional chain code features and zoning. There are two main classes of features: statistical features extracted from statistical distributions, and structural features related to character geometry. Classification assigns inputs to predefined classes based on the extracted features. Techniques f

Author

Osama Abbass

Language

EN