Online Signature Verification: A Review
نویسندگان
چکیده
منابع مشابه
A Review: Embedded System for Biometric Online Signature Verification
In Biometric authentication system Signature is an important characteristics to verify the identity of person. Signature is the type of behavioral biometrics. In Signature Verification system, signature is split into two types: Online(dynamic) and Offline(static). In Offline (static) signature verification image is taken as an input of a signature and which is useful in signature verification. ...
متن کاملUser Dependent Features in Online Signature Verification
In this paper, we propose a novel approach for verification of on-line signatures based on user dependent feature selection and symbolic representation. Unlike other signature verification methods, which work with same features for all users, the proposed approach introduces the concept of user dependent features. It exploits the typicality of each and every user to select different features fo...
متن کاملOnline Signature Verification using Dynamic Time Warping
Biometrics authentication has been gaining popularity among the industries that highly incorporate securities in their daily activities. Signature verification is one of the biometrics authentication techniques which has been used for years and publicly accepted. The ease of use of signature verification coupled with lower cost and technology advances in tablet technologies, signature verificat...
متن کاملFeature Representation for Online Signature Verification
—Biometrics systems have been used in a wide range of applications and have improved people authentication. Signature verification is one of the most common biometric methods with techniques that employ various specifications of a signature. Recently, deep learning has achieved great success in many fields, such as image, sounds and text processing. In this paper, deep learning method has been ...
متن کاملDynamic Alignment Distance Based Online Signature Verification
A self-contained application that verifies the signatures of enrolled users is developed. The verifier uses dissimilarity values based on dynamic alignment distances. Three different threshold calculation techniques are investigated: The first one makes use of the information provided by forged signatures and the other two methods use the information gathered from genuine signatures. The method...
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ژورنال
عنوان ژورنال: IOSR Journal of Computer Engineering
سال: 2017
ISSN: 2278-8727,2278-0661
DOI: 10.9790/0661-1902033337