According to the American National Science and Technology Council (NSTC), the first signature recognition system was developed in 1965. Then the research continued in 1970 focusing on the potential of geometric characteristic of a signature rather than dynamic characteristic. Nowadays, signature is a commonly used identification procedure. Everyone would be required having a signature for autho...

In this work a new offline signature recognition system based on Radon Transform, Fractal Dimension (FD) and Support Vector Machine (SVM) is presented. In the first step, projections of original signatures along four specified directions have been performed using radon transform. Then, FDs of four obtained vectors are calculated to construct a feature vector for each signature. These vectors ar...

Face and signature are still two most dominant authentication modes in banking, legal documents, or personnel records in spite availability of more robust biometric modes. Hence, it is imperative to develop low-cost and reliable automated face recognition and signature verification system. Therefore, this paper presents our work in development of a two-in-one portable low-cost dsPIC30F3013 digi...

This paper presents a new technique for off-line signature recognition and verification. The proposed system is based on global, grid and texture features. For each one of these feature sets a special two stage Perceptron OCON (one-class-one-network) classification structure has been implemented. In the first stage, the classifier combines the decision results of the neural networks and the Euc...

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...

Signature is one of the important method of individual authentication and identification. Signatures. A variety of techniques have been proposed for signature identification in the past. Handwritten signatures are one of the most and effective method of authenticating an individual’s identity. Lot of research is going on for signature recognition. In this paper we have used image processing tec...

This paper describes a new visual representation of motion that is used to learn and classify body language what we call “body signatures” of people while they are talking. We applied this technique to several hours of internet videos and television broadcasts that include US politicians and leaders from Germany, France, Iran, Russia, Pakistan, and India, and public figures such as the Pope, as...

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...

1. ABSTRACT We present results of a study of the relationship between intonational features including pitch range, timing, and amplitude and aspects of discourse structure defined in terms of Grosz and Sidner's (1986) model of discourse. We compare structural labelings of AP news text with prosodic/acoustic features examined from recordings of the same text read by a professional newscaster. We...