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A Review on Pattern Recognition with Offline Signature Classification and Techniques


Rashika Shrivastava , GITS, Gwalior; Brajesh Kumar Shrivash, GITS, Gwalior; Neeraj Mandhan , GITS, Gwalior


Pattern Recognition, Signature Recognition, Classification, Applications


Pattern recognition gets renowned and come in touch with us since 1960’s and it get lots of attention from all over the world by their outstanding characteristics. In this paper Pattern recognition was presented, including idea, system, application and incorporation. In the meantime, ten descriptions and also more than ten techniques, for example- recognition was compressed. At the end, grouping of PR and structure and its associated fields and also application ranges were presented at point of interest. PR has researcher’s attention attracted in the last few decades as an approach of machine learning because of its areas of extensive spread application. The application area contains business, speech recognition, data mining, communications, military intelligence, automations, medicine, Bioinformatics, document classification and various others. In this review paper many Pattern Recognition approaches have been reviewed and also their pros/cons, application particular paradigm has been presented. The signature Recognition and check framework is used to aware and confirm individual's written hand signature. Presently transcribed mark is a standout amongst the most commonly acknowledged individual traits for personal attributes. Signature verification gives approval in money related and business exchange. Signature confirmation finds its uses in the field of net keeping money, travel permit check framework, gives validation to a hopefuls in broad daylight examination from their marks, charge cards, bank checks.

Other Details

Paper ID: IJSRDV3I100270
Published in: Volume : 3, Issue : 10
Publication Date: 01/01/2016
Page(s): 388-392

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