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In this paper, we present the main results of the BioSecure Signature Evaluation Campaign (BSEC'2009). The objective of BSEC'2009 was to evaluate different online signature algorithms on two tasks: the first one aims at studying the influence of acquisition conditions (digitizing tablet or PDA) on systems' performance; the second one aims at studying the(More)
Authentication of individuals is rapidly becoming an important issue. On-line signature verification is one of the methods that use biometric features. This paper proposes a new HMM algorithm is for on-line signature verification. After preprocessing, input signature is discretized in a polar coordinate system. This particular discretization leads to a(More)
A camera-based online signature verification system is proposed in this paper. One web camera is used for data acquisition, and a sequential Monte Carlo method is used for tracking a pen tip. Several distances are computed from an online signature, and a fusion model trained by using Ad-aBoost combines the distances and computes a final score. Preliminary(More)
We propose a camera-based online signature verification system. Time-series images are obtained from a camera while a signature is being written. Then, online signature data are obtained by tracking the pen tip from these images with a particle filter (sequential Monte Carlo). The proposed system has an advantage that special devices such as an electronic(More)
Authentication of handwritten signatures is becoming increasingly important. With a rapid increase in the number of people who access Tablet PCs and PDAs, online signature verification is one of the most promising techniques for signature verification. This paper proposes a new algorithm that performs a Monte Carlo based Bayesian scheme for online signature(More)
We propose a visual-based online signature verification system in which the signer's pen tip is tracked. The input module of the system consists of only low-cost cameras (webcams) and does not need special equipment such as an electronic tablet. Online signature data is obtained from the images captured by the webcams by tracking the pen tip. The pen tip(More)
Gait recognition is a useful biometric trait for person authentication because it is usable even with low image resolution. One challenge is robustness to a view change (cross-view matching); view transformation models (VTMs) have been proposed to solve this. The VTMs work well if the target views are the same as their discrete training views. However, the(More)
In this paper, we present the main results of the BioSecure Signature Evaluation Campaign (ESRA '2011). The objective of ESRA '2011 is to evaluate through two diffe rent tasks the resistance of dffJerent online signature systems to skilled forgeries categorized automatically according to their quality. Task 1 aims at studying with only coordinate(More)