MPBS 2011 Abstracts
Short Papers
| Paper Nr: | 1 |
| Title: | ON THE ROBUSTNESS OF FINGERPRINT LIVENESS DETECTION ALGORITHMS AGAINST NEW MATERIALS USED FOR SPOOFING |
| Authors: | Emanuela Marasco and Carlo Sansone |
| Abstract: | Fingerprint biometric systems may be deceived by attacks at sensor level that use fake fingers. A secure fingerprint scanner is required to possess the ability to determine if the image comes from a living individual or not. Recently, several liveness detection approaches have been proposed to address this problem. At present performances of the existing software-based solutions have been assessed with different sensors and using small data sets. Moreover, it is assumed that fake fingerprints are produced by adopting the same materials used for training the system. This paper looks at the cases where the test spoof finger is made by employing a material new for the fingerprint sensor. We propose an experimental comparison among the current fingerprint liveness detection approaches accomplished by adopting materials for training different than those used for testing. Experiments have been performed by using standard databases taken from the LivDet09 Competition. |
| Paper Nr: | 4 |
| Title: | GLOTTAL SOURCE ASYMMETRY ESTIMATION BY ICA |
| Authors: | Pedro Gómez-Vilda and Roberto Fernández-Baíllo |
| Abstract: | Healthy Voice Production and Voice Care are subjects of growing concern nowadays. Knowing that many Voice Diseases result in asymmetric vibration, a method to estimate the percentage of asymmetry has been developed on the Glottal Source obtained by the inverse filtering of Voice. The asymmetric biomechanics is treated as a result of unknown sources which are separated using classical Independent Component Analysis. The paper presents specific real cases and produce results which animate an open discussion on the background underlying processes, which may be based on clear asymmetric biomechanics affecting differently to each vocal fold as by the result of lesions or injuries in one or both of them. Results are presented and conclusions derived. |
| Paper Nr: | 5 |
| Title: | FACE DETECTION ALGORITHM USING EMD - Application to Biometric Recognition System |
| Authors: | Jordi Solé-Casals and Carlos M. Travieso-González |
| Abstract: | In this work we present a new face detection algorithm for biometric recognition systems, based on Empirical Mode Decomposition (EMD) that helps us to detect the central skin part of the face. After a binarization and dilatation process, we get an approximation of the face location that is finally established by adjusting an ellipse. Finally, a mask is created using the perimeter of this ellipse and applied to the original image, giving as a result the detected face. Experiments show the performance of the method, with a recognition rate of 97.60%. |
| Paper Nr: | 6 |
| Title: | GENDER VERIFICATION SYSTEM BASED ON JADE-ICA - Application to Biometric Identification System |
| Authors: | Marcos del Pozo and Carlos M. Travieso |
| Abstract: | Biometric systems are one of the hottest topics in technology research due their possibilities. An example of these systems may be able to differ between male and female humans. This is called a gender classifier, and it finds applications in areas such as security, marketing, or even as a reinforcement of other biometric systems like face identification. In this work, a gender classifier system is modelled. The system implements two different feature extraction algorithms based on Independent Component Analysis (ICA). On the other hand, Support Vector Machines (SVM) is used as the classifier method. Finally, after 50 runs and 350 independent samples tested in each run, results give rise to an average of 82.40% of success working with Joint Approximate Diagonalization of Eigen-matrices (JADE) ICA and SVM. Moreover, significant differences between JADE-ICA and Fast-ICA algorithms have been pointed out, not only in terms of success rate, but also in stability. |