Gabor Filter Based Feature Vector for Dynamic Signature Recognition
TLDR
This paper incorporates the timing information available in the signature along with the Gabor filter response to generate the feature vector of a dynamic signature.Abstract:
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 timing information available in the signature along with the Gabor filter response to generate the feature vector. Gabor filters have been widely used for image, texture analysis. Here we present analysis for the Gabor filter based feature vector of a dynamic signature.read more
Citations
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Journal ArticleDOI
Discriminative Features Mining for Offline Handwritten Signature Verification
TL;DR: Combination of orientation of the skeleton and gravity centre point to extract accurate pattern features of signature data in offline signature verification system is presented.
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Biometric signature authentication using machine learning techniques: Current trends, challenges and opportunities
TL;DR: The techniques of offline and online signature verification systems according to the taxonomy of classification model are surveyed and the most notable challenges are presented to guide the readers towards the current trends and future directions of the domain.
Journal ArticleDOI
Multi classifier-based score level fusion of multi-modal biometric recognition and its application to remote biometrics authentication
J Aravinth,S. Valarmathy +1 more
TL;DR: The proposed technique has achieved better accuracy value and Receiver Operating Characteristic (ROC) curves when compared to other techniques and shows the effectiveness of the proposed technique.
Proceedings ArticleDOI
Online Signature Recognition Using Software as a Service (SaaS) Model on Public Cloud
TL;DR: A highly scalable, pluggable and faster cloud based online signature recognition system is proposed, which is capable of operating on enormous amounts of data, which induces the need for sufficient storage capacity and significant processing power.
Journal ArticleDOI
Offline Handwritten Signature Identification Using Adaptive Window Positioning Techniques
TL;DR: Adaptive Window Positioning technique which focuses on not just the meaning of the handwritten signature but also on the individuality of the writer is proposed which can be used to detect signatures signed under emotional duress.
References
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Journal ArticleDOI
An introduction to biometric recognition
TL;DR: A brief overview of the field of biometrics is given and some of its advantages, disadvantages, strengths, limitations, and related privacy concerns are summarized.
Journal ArticleDOI
Fingerprint image enhancement: algorithm and performance evaluation
Lin Hong,Yifei Wan,Anil K. Jain +2 more
TL;DR: A fast fingerprint enhancement algorithm is presented, which can adaptively improve the clarity of ridge and valley structures of input fingerprint images based on the estimated local ridge orientation and frequency.
Journal ArticleDOI
Automatic signature verification and writer identification — the state of the art
Réjean Plamondon,Guy Lorette +1 more
TL;DR: A survey of the literature on automatic signature verification and writer identification by computer, and an overview of achievements in static and dynamic approaches to solving these problems, with a special focus on preprocessing techniques, feature extraction methods, comparison processes and performance evaluation.
Journal ArticleDOI
A multichannel approach to fingerprint classification
TL;DR: This work presents a fingerprint classification algorithm which is able to achieve an accuracy better than previously reported in the literature and is based on a two-stage classifier to make a classification.
Journal ArticleDOI
On-line signature verification
TL;DR: Experiments on a database containing a total of 1232 signatures of 102 individuals show that writer-dependent thresholds yield better results than using a common threshold.