2008 |
Štruc, Vitomir; Pavešić, Nikola Palmprint recognition using the trace transform Proceedings Article In: Proceedings of the national conference ROSUS'08, pp. 41-48, Maribor, Slovenia, 2008. Abstract | Links | BibTeX | Tags: biometrics, palmprints, trace transform @inproceedings{rosus08, Biometrija je znanstvena veda o metodah razpoznavanja ljudi na podlagi njihovih fizioloških in/ali vedenjskih značilnosti. Sistemi, ki uporabljajo te metode, služijo kot varnostni mehanizmi za omejevanje dostopa do določenih prostorov, zgradb ali storitev ter kot pomoč pri kriminalističnih preiskavah. V članku predstavljamo primer biometričnega sistema, ki preveri identiteto uporabnika na podlagi slike njegove dlani. Sistem temelji na novem, hibridnem postopku izpeljave značilk, ki na slikovnem področju dlani najprej izvede Kadyrov-Petrouvo transformacijo, transformirane slike pa s postopkom linearne diskriminantne analize v nadaljevanju pretvori v kompaktne vektorje značilk. Uspešnost razpoznavanja s predlaganim sistemom smo preizkusili na obsežni podatkovni zbirki, kjer smo dosegli zadovoljive rezultate. |
Štruc, Vitomir; Mihelič, France; Pavešić, Nikola Face authentication using a hybrid approach Journal Article In: Journal of Electronic Imaging, vol. 17, no. 1, pp. 1-11, 2008. Abstract | Links | BibTeX | Tags: biometrics, face recognition, hybrid approach, kernel partial least squares, trace transform @article{JEI-Struc_2008, This paper presents a hybrid approach to face-feature extraction based on the trace transform and the novel kernel partial-least-squares discriminant analysis (KPA). The hybrid approach, called trace kernel partial-least-squares discriminant analysis (TKPA) first uses a set of fifteen trace functionals to derive robust and discriminative facial features and then applies the KPA method to reduce their dimensionality. The feasibility of the proposed approach was successfully tested on the XM2VTS database, where a false rejection rate (FRR) of 1.25% and a false acceptance rate (FAR) of 2.11% were achieved in our best-performing face-authentication experiment. The experimental results also show that the proposed approach can outperform kernel methods such as generalized discriminant analysis (GDA), kernel fisher analysis (KFA) and complete kernel fisher discriminant analysis (CKFA) as well as combinations of these methods with features extracted using the trace transform. |