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- W3048932363 abstract "In present scenario world forgery of signature is very much increased. Novel techniques are there to identify acorrect signature. Hand written or bio metric signatures are widely used for authentication and identification of a personbecause every person has a own style of signature with its specific structures, so it is needy and necessary to recognize theauthenticity of person hand written signature. There are limitations and complexities in recognizing a hand written signatureimage due to lack of abundant technical literature and sophisticated optimal methodologies. , we introduced an efficientapproach for hand written signature recognition and retrieval using transformation-based approach Non-subsampledcontourlet transform used for texture classification and the transform consists of Non-subsampled pyramid filter bank andNonsubsampled directional filter bank Also gray level matrix is used to extract the texture features. In addition, imagestatistics is computed to enhance the recognition performance further. Finally, computed hamming distance. It measures thesimilarity between trained and test images, it is an effective distance metric over conventional Euclidean distance." @default.
- W3048932363 created "2020-08-18" @default.
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- W3048932363 date "2020-01-01" @default.
- W3048932363 modified "2023-09-26" @default.
- W3048932363 title "AN EFFICIENT ALGORITHM FOR HAND WRITTEN SIGNATURE RECOGNITION USING TRANSFORM BASEDAPPROACH WITH IMAGE STATISTICS" @default.
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