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OFFLINE SIGNATURE IDENTIFICATION USING STATISTICAL AND MODEL-BASED APPROACH
Padmajadevi. G, Dr. Aprameya K.S

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 4, Issue-7, pp.7-13, Jul 2017
DPI :-> 16.10046.IJCESR.2017.V4I7.713.1835



Abstract
The main task of forensic signature analysis is the identification of the writer of handwritten signature. An approach to machine intelligence is based on statistical modelling of data. With a statistical model in hand, one applies probability theory and decision theory to get an algorithm. The statistical model one uses is crucially dependent on the choice of features. Hence it is useful to consider alternative representations of the same measurements. For the statistical approach we evaluate multi-scale statistical features and find one of them to improve the identification performance of single scale features. Model based approach involves s the use of pre - defined models of small strokes of handwriting called graphemes.

Key-Words / Index Term
Keywords: signature identification, graphemes, edge-hinge, principal component analysis (PCA), clustering.

How to cite this article
Padmajadevi. G, Dr. Aprameya K.S , “OFFLINE SIGNATURE IDENTIFICATION USING STATISTICAL AND MODEL-BASED APPROACH”, International Journal of Current Engineering And Scientific Research ( IJCESR), 4, Issue-7, pp.7-13, Jul 2017. DPI:16.10046.IJCESR.V4.I7.1835