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Biometric Recognition in Automated Border Control: A Survey.

, , , , , и . ACM Comput. Surv., 49 (2): 24:1-24:39 (2016)

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Neural-based iterative approach for iris detection in iris recognition systems., , и . CISDA, стр. 1-6. IEEE, (2009)Neural-based quality measurement of fingerprint images in contactless biometric systems., , и . IJCNN, стр. 1-8. IEEE, (2010)Exploiting application locality to design fast, low power, low complexity neural classifiers., и . ISCAS (5), стр. 5142-5145. IEEE, (2005)Towards touchless pore fingerprint biometrics: A neural approach., , , , и . CEC, стр. 4265-4272. IEEE, (2016)Automatic Classification of Acquisition Problems Affecting Fingerprint Images in Automated Border Controls., , , , , и . SSCI, стр. 354-361. IEEE, (2015)Deep Learning for Biometric Systems: Applications and Trends.. DeLTA, стр. 9. SCITEPRESS, (2021)Improving OSB wood panel production by vision-based systems for granulometric estimation., , , , , и . RTSI, стр. 557-562. IEEE, (2015)Text-independent speaker recognition for Ambient Intelligence applications by using Information Set Features., , , , и . CIVEMSA, стр. 30-35. IEEE, (2017)Towards the Prediction of Renewable Energy Unbalance in Smart Grids., , , и . RTSI, стр. 1-5. IEEE, (2018)Automated Border Control Systems: Biometric Challenges and Research Trends., , , , , и . ICISS, том 9478 из Lecture Notes in Computer Science, стр. 11-20. Springer, (2015)