In this paper we present a novel on-line signature based biometric recognition system, where cryptographic techniques are employed to provide protection and cancelability to function based signature templates. The performances of the proposed protected on-line signature recognition system are evaluated on the public MCYT signature database, and compared with the performances achievable using un...

Handwritten signature recognition can be divided into online (or dynamic) and off-line (or static) recognition. Online recognition refers to a process that the signer uses a special pen called a stylus to create his or her signature, producing the pen locations, speeds and pressures, while off-line recognition just deals with signature images acquired by a scanner or a digital camera. In genera...

This paper presents the multi biometrics system for identity verification based on face and signature. The proposed system is designed for applications where the training database contains one face and one or two signature image for each individual. This system has three modules namely face recognition, signature recognition and multi-biometrics. In face recognition, first the face is detected ...

Handwritten signature is being used in various applications on daily basis. The problem arises when someone decides to imitate our signature and steal our identity. Therefore, there is a need for adequate protection of signatures and a need for systems that can, with a great degree of certainty, identify who is the signatory. This paper presents previous work in the field of signature and write...

This paper describes a prototype for Brazilian bankcheck recognition. The description is divided into three topics: bankcheck information extraction, digit amount recognition and signature verification. In bankcheck information extraction, our algorithms provide signature and digit amount images free of background pattern and bankcheck printed information. In digit amount recognition, we dealt ...

In this paper, we present an off-line signature recognition and verification system which is based on moment invariant method and ANN. Two separate neural networks are designed; one for signature recognition, and another for verification (i.e. for detecting forgery). Both networks use a four-step process. First step is to separate the signature from its background. Second step performs normaliz...