JPR_V2_N4_RevP2
A Comprehensive Study on Different Pattern Recognition Techniques
Navneet Kumar Kashyap
B.K. Pandey
H.L. Mandoria
Ashok Kumar
Journal on Pattern Recognition
2350-112X
2
4
42
49
Statistical & Structural Pattern Recognition, Pattern Recognition Techniques, Pattern Recognition, Fuzzy Model, Neural Network Scheme, Hybrid Versions
Pattern Acceptance has been admired because of its advancement in the appliance areas. The applying breadth includes medicine, communications, automation, aggressive intelligence, abstracts mining, bioinformatics, certificate classification, accent recognition, business and abounding others. In this analysis, cardboard assorted approaches of Arrangement Acceptance has been presented with their pros-cons, and the appliance specific archetype has been confirmed. From the base of the survey, arrangement acceptance techniques could be categorized into six parts. Such awning techniques include Neural Network scheme, Statistics Techniques, Template Matching, Hybrid versions and Fuzzy Model.
December 2015 - February 2016
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