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Towards touchless pore fingerprint biometrics: A neural approach., , , , and . CEC, page 4265-4272. IEEE, (2016)Automatic Classification of Acquisition Problems Affecting Fingerprint Images in Automated Border Controls., , , , , and . SSCI, page 354-361. IEEE, (2015)Automated Border Control Systems: Biometric Challenges and Research Trends., , , , , and . ICISS, volume 9478 of Lecture Notes in Computer Science, page 11-20. Springer, (2015)Non-ideal iris segmentation using Polar Spline RANSAC and illumination compensation., , , , and . Comput. Vis. Image Underst., (2019)Improving OSB wood panel production by vision-based systems for granulometric estimation., , , , , and . RTSI, page 557-562. IEEE, (2015)Advanced Biometric Technologies: Emerging Scenarios and Research Trends., , , and . From Database to Cyber Security, volume 11170 of Lecture Notes in Computer Science, page 324-352. Springer, (2018)Biometric Recognition in Automated Border Control: A Survey., , , , , and . ACM Comput. Surv., 49 (2): 24:1-24:39 (2016)Online Advertising and the CPA Model: Challenges and Opportunities, , and . International Journal of Engineering and Management Research, 4 (3): 324--334 (2014)Enhancing fingerprint biometrics in Automated Border Control with adaptive cohorts., , , , , , and . SSCI, page 1-8. IEEE, (2016)Achieving Memetic Adaptability by Means of Agent-Based Machine Learning., , , and . IEEE Trans. Ind. Informatics, 7 (4): 557-569 (2011)