Implementation of Biometric Recognition Using Off-Line Signature
Swarm Intelligence Implementation on Behavioural Biometric and Questioned Document Device
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Biometric Technologies (BT) are important multidisciplinary research areas targeted at automatic identity verification applications. Verification processes especially based on behaviour do not show 100 % verification due to some environmental and personal differences in BT. Signature imitation is one of the typical inverse problems of graphology. Thus, signature verification (SV) ,which has a special importance in BT is a widely studied area of research in the literature. Swarm intelligence and Neural Network is adapted for verification process. Signature is highly preferable with respect to C...
Biometric Technologies (BT) are important multidisciplinary research areas targeted at automatic identity verification applications. Verification processes especially based on behaviour do not show 100 % verification due to some environmental and personal differences in BT. Signature imitation is one of the typical inverse problems of graphology. Thus, signature verification (SV) ,which has a special importance in BT is a widely studied area of research in the literature. Swarm intelligence and Neural Network is adapted for verification process. Signature is highly preferable with respect to Collectability and Acceptability. Therefore the studies on signature verification have a great importance. Much progress has been performed in SV recent years. However a model based statistical approach is not available. Questioned documents have been suspected of being deceitful or whose source has not been known. There may be a variety of reasons for questioning a document. BIO-BOX is represented with applications of the questioned document analysis.
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