Wavelet-Based Facial recognition
| Autor: | Bendjillali Ridha Ilyas, Abdelmalik Taleb Ahmed, Beladgham Mohammed, Merit Khaled |
|---|---|
| Přispěvatelé: | Delrue, Mylène, Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520 (IEMN-DOAE), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), COMmunications NUMériques - IEMN (COMNUM - IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF) |
| Rok vydání: | 2018 |
| Předmět: |
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]
Biometrics Relation (database) [SPI] Engineering Sciences [physics] Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION [INFO] Computer Science [cs] 01 natural sciences Facial recognition system [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] 010309 optics [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] [SPI]Engineering Sciences [physics] Wavelet Region of interest 0103 physical sciences [INFO]Computer Science [cs] ComputingMilieux_MISCELLANEOUS [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI] business.industry Wavelet transform Pattern recognition Peak signal-to-noise ratio [SPI.TRON] Engineering Sciences [physics]/Electronics [SPI.TRON]Engineering Sciences [physics]/Electronics Face (geometry) Artificial intelligence business [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
| Zdroj: | Proceedings of 6th International Conference on Control Engineering and Information Technology, CEIT 2018 Proceedings of 6th International Conference on Control Engineering and Information Technology, CEIT 2018, Oct 2018, Istanbul, Turkey |
| DOI: | 10.1109/ceit.2018.8751751 |
| Popis: | To recognize and automatically identify the identities of individuals, there are several biometric identification systems based on physiological and behavioral characteristics, in our work we are interested in face recognition, which is a recent biometric authentication technology. This technology offers a reasonable level of precision. In this paper, we propose a method of biometric recognition of a person by their face using the wavelet transform. For our application, we have opted for different types of wavelets in order to decompose the region of interest. The evaluation and judgment of each type in relation to the other is given by the calculation of the parameters Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR). The experimental results were performed using the FEI database. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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