Today in the world of profit aiming mind, trust of people is at high risk where forgery is monotonous in which fake signature has come into limelight. The fraudulent signature thus needs to be verified using verification techniques. The signature forgery can be restricted by either online signature verification or offline signature verification techniques. Online signature on one hand verifies ...

Verifying the identity of a person using handwritten signatures is challenging in the presence of skilled forgeries, where a forger has access to a person’s signature and deliberately attempt to imitate it. In offline (static) signature verification, the dynamic information of the signature writing process is lost, and it is difficult to design good feature extractors that can distinguish genui...

Forgery detection has been a challenging area in the field of biometry, e.g., handwritten signatures. Signature verification is a bi-objective optimization problem. The two crucial parameters are accuracy and time of computation. In this work, a comprehensive study on application of Adaptive Resonance Theory (ART) Nets (Type 1 and 2) and Associative Memory Net (AMN) has been conducted. To decre...

Mathematical expressions generally play a requisite role in scientific communications. They are not just used for numerical calculations, on the other hand, also employed fetching information with less ambiguity, and facilitate researchers to exactly outline formalize target problems. It takes far longer manually enter mathematical formulas into computer than it does write them down paper using...

Offline Signature Classification has been extensively studied for many years. The challenge in this area is the correct classification of skilled forgeries which are the result of deliberate practice to imitate the signatures of any person. In this paper the preprocessed images of genuine handwritten signatures are subjected to analysis by Wavelet Packets. A regular wavelet like db4 has been us...

Handwritten signatures are considered as the most natural method of authenticating a person’s identity (compared to other biometric and cryptographic forms of authentication). The learning process inherent in Neural Networks (NN) can be applied to the process of verifying handwritten signatures that are electronically captured via a stylus. This paper presents a method for verifying handwritten...

Online handwritten signature verification is one of the branches of behavioral biometry that is gaining popularity in protecting sensitive information. Our paper addresses a key issue in evaluating performances of online signature authentication systems: data collection. Acquiring a real dataset with handwritten signatures is a major step in the system verification. We will present our collecti...