Auflistung nach Autor:in "Eglitis, Teodors"
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- KonferenzbeitragBimodal palm biometric feature extraction using a single RGB image(BIOSIG 2014, 2014) Eglitis, Teodors; Pudzs, Mihails; Greitans, ModrisThis paper proposes a method for palm bimodal biometric feature (vein and crease pattern) acquisition from a single RGB image. Typical bimodal biometric systems require combining infrared and visible images for this task. We use a single CMOS color sensor and a specific illumination comprising of two wavelengths to acquire the image. As a result each biometric modality is more pronounced in its own color channel. The image is processed by applying adapted matched filters with nonlinear modifications. Performance of the proposed method is evaluated against feature separation with optical band-pass and band-stop approach on a database of 64 people. The results show the average true positive rate is 70.6 \% for vein detection and 64.7 \% for crease detection, whereas in 14.8 \% and 9.29 \% of the cases feature of wrong modality is detected.
- KonferenzbeitragFPGA based palmprint and palm vein biometric system(BIOSIG 2013, 2013) Pudzs, Mihails; Fuksis, Rihards; Ruskuls, Rinalds; Eglitis, Teodors; Kadikis, Arturs; Greitans, ModrisThis paper presents an FPGA based multimodal palm biometric system. System is prototyped on an Altera DE2-115 board from Terasic, using an additional hardware for palm image acquisition in two light spectrums, communication with smart card, and debugging. System captures person's palmprint and palm vein images, extracts biometric data, encrypts it, and prepares for comparison. The comparison of the biometric data is performed on smart card for additional security. The proposed multimodal palm biometric system achieves a matching accuracy of EER of 16.65 % and a verification processing time of 0.8 seconds.
- KonferenzbeitragInfluence of Test Protocols on Biometric Recognition Performance Estimation(BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group, 2021) Eglitis, Teodors; Maiorana, Emanuele; Campisi, PatrizioThe performance of a biometric system is commonly evaluated by the obtained recognition rates and comparing the results against the ones reported in the literature on the same database. An aspect that has not received the deserved attention in the literature concerns the influence, on the achieved rates, of the test protocol employed to select the enrol and probe data. We provide a detailed analysis of the impact of the experimental choices on the estimated performance, considering the recommendations provided by ISO/IEC 19795 standard. We use the UTFVP finger vein database, reproducing results presented in the literature using multiple protocols. Our experiments highlight the possibility of obtaining equal error rates reduced by half simply by changing the test protocol.