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Elimination of skilled forgeries in off-line systems: a breakthrough

Elimination of skilled forgeries in off-line systems: a breakthrough,10.1109/ICPR.1992.201806,M. Ammar

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Elimination of skilled forgeries in off-line systems: a breakthrough   (Citations: 2)
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Presents a novel approach to automatic verification of signatures in off-line systems. This new approach is able to eliminate skilled forgeries at a very low false alarm rate. A zero false alarm rate is also possible at a very high correct rejection, and the average error rate has approached 2% for skilled forgeries. The new approach is based on matching the suspect signature with reference knowledge (RN) represented by a reference image (RI) constructed from all the available training samples. A set of newly developed global and local features, extracted using a new matching technique called Ammar matching technique (AMT), are used
Conference: International Conference on Pattern Recognition - ICPR , 1992
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