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Information 2018, 9(9), 215;

Metric Learning with Dynamically Generated Pairwise Constraints for Ear Recognition

School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
Department of Mathematics and computer Science, Faculty of Science, Menoufia University, Shebin El-kom 32511, Egypt
Faculty of Computers and Information, Banha University, Banha 13518, Egypt
Authors to whom correspondence should be addressed.
Received: 8 August 2018 / Revised: 23 August 2018 / Accepted: 23 August 2018 / Published: 27 August 2018
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The ear recognition task is known as predicting whether two ear images belong to the same person or not. More recently, most ear recognition methods have started based on deep learning features that can achieve a good accuracy, but it requires more resources in the training phase and suffer from time-consuming computational complexity. On the other hand, descriptor features and metric learning play a vital role and also provide excellent performance in many computer vision applications, such as face recognition and image classification. Therefore, in this paper, we adopt the descriptor features and present a novel metric learning method that is efficient in matching real-time for ear recognition system. This method is formulated as a pairwise constrained optimization problem. In each training cycle, this method selects the nearest similar and dissimilar neighbors of each sample to construct the pairwise constraints and then solves the optimization problem by the iterated Bregman projections. Experiments are conducted on Annotated Web Ears (AWE) database, West Pommeranian University of Technology (WPUT), the University of Science and Technology Beijing II (USTB II), and Mathematical Analysis of Images (AMI) databases.. The results show that the proposed approach can achieve promising recognition rates in ear recognition, and its training process is much more efficient than the other competing metric learning methods. View Full-Text
Keywords: metric learning; ear recognition; pairwise constraint metric learning; ear recognition; pairwise constraint

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Omara, I.; Zhang, H.; Wang, F.; Hagag, A.; Li, X.; Zuo, W. Metric Learning with Dynamically Generated Pairwise Constraints for Ear Recognition. Information 2018, 9, 215.

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