no code implementations • 27 Oct 2019 • Cihan Akin, Umit Kacar, Murvet Kirci
With the development of technology, the usage areas and importance of biometric systems have started to increase.
no code implementations • 15 Mar 2019 • Cihan Akin, Umit Kacar, Murvet Kirci
With the development of technology, the usage areas and importance of biometric systems have started to increase.
no code implementations • 11 Mar 2019 • Žiga Emeršič, Aruna Kumar S. V., B. S. Harish, Weronika Gutfeter, Jalil Nourmohammadi Khiarak, Andrzej Pacut, Earnest Hansley, Mauricio Pamplona Segundo, Sudeep Sarkar, Hyeonjung Park, Gi Pyo Nam, Ig-Jae Kim, Sagar G. Sangodkar, Ümit Kaçar, Murvet Kirci, Li Yuan, Jishou Yuan, Haonan Zhao, Fei Lu, Junying Mao, Xiaoshuang Zhang, Dogucan Yaman, Fevziye Irem Eyiokur, Kadir Bulut Özler, Hazim Kemal Ekenel, Debbrota Paul Chowdhury, Sambit Bakshi, Pankaj K. Sa, Banshidhar Majhi, Peter Peer, Vitomir Štruc
The goal of the challenge is to assess the performance of existing ear recognition techniques on a challenging large-scale ear dataset and to analyze performance of the technology from various viewpoints, such as generalization abilities to unseen data characteristics, sensitivity to rotations, occlusions and image resolution and performance bias on sub-groups of subjects, selected based on demographic criteria, i. e. gender and ethnicity.
no code implementations • 27 Jan 2018 • Umit Kacar, Murvet Kirci
Only a few studies have been reported regarding human ear recognition in long wave infrared band.
no code implementations • 27 Jan 2018 • Cihan Akin, Umit Kacar, Murvet Kirci
In this study a multimodal biometric recognition system is proposed to recognize twins from each other and from the other people by using image and speech data.