Analysis of signature is a widely used and developed area of research for personal verification. A typical signature verification (SV) system generally consists of four components: data acquisition, preprocessing, feature extraction and verification. A reliable SV toolbox, based on the verification of off-line signatures is developed with the proposed algorithm. The technique is based on a neur...

Like unique DNA, each person has unique and distinct signature that is being mainly legitimated for purposes such as personal identification and verification of certain documents or legal transactions. In recently, the signatures are being forged for the wrong intent. For the same as of now many techniques have been proposed for the detection/ verification of signature forgery. But these signat...

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 ...

The increasing trend of using e-versions document transmission and storage requires the electronic verification sender/author. This research presents an efficient robust online handwritten signature system targeting rates better than available state-of-the-art systems in presence skilled forgeries. Fourier analysis is employed on signatures to represent feature vectors higher dimensional space ...

Deep learning has become a breathtaking technology in the last years, overcoming traditional handcrafted approaches and even humans for many different tasks. However, some tasks, such as verification of handwritten signatures, amount publicly available data is scarce, what makes difficult to test real limits deep learning. In addition lack public data, it not easy evaluate improvements novel pr...

ـــ ـ Automatic signature verification is a wellestablished and an active area for research with numerous applications such as bank check verification, ATM access, etc. Most off-Line signature verification systems depend on pixels intensity in feature extraction process which is sensitive to noise and any scale or rotation process on signature image. This paper proposes an off-line handwritten ...

Many handwritten signature verification algorithms have been developed in order to distinguish between genuine signatures and forgeries. An important group of these methods is based on dynamic time warping (DTW). Traditional use of DTW for signature verification consists in forming a misalignment score between the verified signature and a set of template signatures. The right selection of templ...