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Improving OSB wood panel production by vision-based systems for granulometric estimation.

, , , , , and . RTSI, page 557-562. IEEE, (2015)

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Computational intelligence for industrial and environmental applications., , , , , and . IEEE Conf. on Intelligent Systems, page 8-14. IEEE, (2016)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)Improving OSB wood panel production by vision-based systems for granulometric estimation., , , , , and . RTSI, page 557-562. IEEE, (2015)Biometric Recognition in Automated Border Control: A Survey., , , , , and . ACM Comput. Surv., 49 (2): 24:1-24:39 (2016)Adaptive ECG biometric recognition: a study on re-enrollment methods for QRS signals., , , , and . CIBIM, page 30-37. IEEE, (2014)Enhancing fingerprint biometrics in Automated Border Control with adaptive cohorts., , , , , , and . SSCI, page 1-8. IEEE, (2016)Thinking of a System for Image Retrieval., , and . IIR, volume 560 of CEUR Workshop Proceedings, page 77-81. CEUR-WS.org, (2010)Analyzing images in frequency domain to estimate the quality of wood particles in OSB production., , , , , and . CIVEMSA, page 1-6. IEEE, (2016)