Despite the growing growth of technology, handwritten signature has been selected as the first option between biometrics by users. In this paper, a new methodology for offline handwritten signature verification and recognition based on the Shearlet transform and transfer learning is proposed. Since, a large percentage of handwritten signatures are composed of curves and the performance of a sig...

Offline handwritten signature system works on the scanned image of a signature. Offline handwritten signature verification is a two class pattern recognition problem. For our experimentation purpose, we have developed offline signature datasets of with genuine and forged signature samples. Some commonly used geometric features were extracted from the signature datasets. Sequential Minimization ...

Biometrics, which refers to identifying an individual based on his or her physiological or behavioral characteristics, has the capability to reliably distinguish between an authorized person and an imposter. Signature verification systems can be categorized as offline (static) and online (dynamic). This paper presents a neural network based recognition of offline handwritten signatures system t...

The development of a Character recognition system for Devnagri is difficult because (i) there are about 350 basic, modified (“matra”) and compound character shapes in the script and (ii) the characters in a words are topologically connected. Here focus is on the recognition of offline handwritten Hindi characters that can be used in common applications like bank cheques, commercial forms, gover...

Usually, in a real-world scenario, few signature samples are available to train an automatic verification system (ASVS). However, such systems do indeed need lot of signatures achieve acceptable performance. Neuromotor duplication methods and feature space augmentation may be used meet the for increase number samples. Such techniques manually or empirically define set parameters introduce degre...

Handwritten signature broadly used biometric which include elevated intrapersonal variance .Signature are generally used as the personal identification apparatus for human that the necessitate for verification system. Two types verification is performed generally online (dynamic) and offline signature verification (static). The static is offline technology that is used for documents authenticat...

Handwritten signature verification is a very challenging and critical task. This work aims at proposing an efficient offline handwritten signature verification model using writer independent approach. The prime focus of this work is on reducing the false acceptance rate of genuine signatures of writers while letting false rejection rate at a satisfactory level through ensemble of classifiers. T...