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Secured Electronic Voting Protocol Using Biometric ...

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Secured Electronic Voting Protocol Using Biometric Authentication . ... son or verifying the identity of a person based on a physiological or behavioral characteristic. Examples of physiological characteristics include hand or finger im-ages, facial characteristics, and iris recognition. Behav-ioral characteristics are traits that are learned or acquired. Dynamic signature verification ...

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DESIGN A SECURE ELECTRONIC VOTING SYSTEM USING ...

DESIGN A SECURE ELECTRONIC VOTING SYSTEM USING ...

biometric-based technologies include finger-scanning, hand geometry, facial recognition, iris scanning, retinal scanning, finger geometry, voice recognition and dynamic signature verification. In [6], a scheme for a dynamic voter registration, enrolment and voting in an online biometric electronic voting system is proposed. An indexing technique for facilitating the search of a matching ...

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Dynamic Signature Recognition Based On Fisher Discriminant

Dynamic Signature Recognition Based On Fisher Discriminant

Dynamic Signature Recognition Based On Fisher Discriminant Teodoro Schmidt 1, Vladimir Riffo , and Domingo Mery1 Pontificia Universidad Catolica de Chile, PUC {theo,vriffo1}@uc.cl [email protected]

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Biometric Signature Verification in Real-Time

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– A dynamic mechanism recognizes the fluctuation rate in each of the signature parameters in real time, thus enriching the . Page | 8 . authentication engine with additional parameters and enhancing the profile every time a signature is authenticated. • Completely Independent from Signature Pads – SIGNificant is a device-independent solution, meaning that it enables the use of a broad ...

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Gabor Filter based Feature Vector for Dynamic Signature ...

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Dynamic signature recognition is one of the commonly used biometric traits. In this paper we propose use of Gabor filters based feature for verification of dynamic signature. We incorporate the ...

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Dynamic Signature - Danish Biometrics

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Dynamic signature recognition research continued in the 1970s focusing on the use of static or geometric characteristics (what the signature looks like) rather than dynamic characteristics (how the signature was made).4 Interest in dynamic characteristics surged with the availability of better acquisition systems accomplished through the use of touch sensitive technologies.4,5 In 1977, a ...

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Dynamic recognition is also known as on-line recognition. On-line recognition means that the machine recognizes the handwriting as the user writes. It requires a transducer that captures the signature as it is written. The on-line system produces time information like acceleration (Speed of writing), retouching, pressure and pen movement [3]. III. STATIC SIGNATURE In this mode, users write ...

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METHOD OF SIGNATURE RECOGNITION WITH THE USE OF THE ...

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METHOD OF SIGNATURE RECOGNITION WITH THE USE OF THE COMPLEX FEATURES In this paper a new method of handwritten signatures verification has been proposed. This method, for each signature, creates complex features which are describing this signature. These features are based on dependencies analysis between dynamic features registered by tablets ...

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Baseline Extraction Algorithm for Online Signature Recognition

Baseline Extraction Algorithm for Online Signature Recognition

Baseline Extraction Algorithm for Online Signature Recognition AZLINAH MOHAMED1, ROHAYU YUSOF2, SHUZLINA ABDUL RAHMAN3 ... Automatic Signature Identification, Baseline Extraction Algorithm, Dynamic Signature, Signature Analysis 1 Introduction Signature is a complex behavior which is developed through repetition. The brain is trained to control the muscles which hold the signature element. Once ...

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Biometric Handwritten Signature Recognition

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Biometric Handwritten Signature Recognition Syed Faraz Ali Zaidi Shahzaan Mohammed Email: {syeza930, shamo291}@student.liu.se Supervisor: Viiveke Fåk, [email protected] TDDD17: Information Security Course Linköpings universitet, Sweden Abstract: This report is a theoretical study of dynamic handwritten signature parameters that can be considered to improve the biometric lab system at ISY ...

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Dynamic Image Networks for Action Recognition

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Dynamic Image Networks for Action Recognition ... their dynamic image motion signature? 1 In this paper, we explore a new powerful and yet simple representation of videos in the context of deep learning. As a representative goal we consider the standard problem of recognizing human actions in short video sequences. Re- cent works such as [5, 6, 7, 9, 23] pointed out that long term dynamics and ...

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