Open Access

Pattern Recognition Techniques

M. Kavitha, Department of Computer Science, Tiruppur Kumaran College for Women, Tirupur, TN, India. R. Baby, babyjeyaraj@gmail.com
Department of Computer Science, Tiruppur Kumaran College for Women, Tirupur, TN, India. K. Hemapriya Department of Computer Science, Tiruppur Kumaran College for Women, Tirupur, TN, India.

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Abstract

Pattern recognition has emerged as one of the most popular research domain in various fields. Pattern recognition is classifying the input data into classes based on the features of the pattern. Main applications are artificial intelligence, data mining, web searching, Optical character recognition, face recognition, handwritten recognition etc.. The components of this technique include acquisition by sensors, feature extraction, preprocessing and classification .Various algorithm such as statistical, structural, neural networks, fuzzy sets and template matching are available for pattern recognition. Emerging technologies such as data mining, data analytics requires efficient pattern recognition techniques. The main aim of this paper is to compare the main aspects and methods of pattern recognition.

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Reference

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