Offline handwritten signature verification - Literature review
نویسندگان
چکیده
The area of Handwritten Signature Verification has been broadly researched in the last decades and still remains as an open research problem. This report focuses on offline signature verification, characterized by the usage of static (scanned) images of signatures, where the objective is to discriminate if a given signature is genuine (produced by the claimed individual), or a forgery (produced by an impostor). We present an overview of how the problem has been handled by several researchers in the past few decades and the recent advancements in the field.
منابع مشابه
Use of the Shearlet Transform and Transfer Learning in Offline Handwritten Signature Verification and Recognition
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...
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Using on-line handwritten signature verification (HSV) for authentication is attractive because of the long–standing tradition of its use in many common authentication tasks. HSV may be considered superior to many other biometric authentication techniques, for example fingerprints or retinal patterns, which are more reliable but also more intrusive. Furthermore, they require special and relativ...
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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 ...
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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...
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In the era of emergent technology, security is that the foremost anxiety to avoid replicas and counterfeits. There are diverse Biometric systems that enable in personal identification, amongst those verification systems, one system is Signature Verification System. Signatures are substantiated discrimination on-line and offline systems. Every human being has their own writing style and hence th...
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