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This paper proposes a novel local feature approach for human verification using 2D ear imaging based on Polar Sine Transform (PST). The proposed approach consists mainly of four steps. Firstly, normalizing the training and testing images, then, combining the normalized images together. Secondly, dividing the fused image into blocks, then, PST is used to(More)
Recently, deep features extracted from Convolutional Neural Networks (CNNs) have been widely adopted in various applications, such as face recognition. Compared with the handcrafted descriptors, deep features have more powerful representation ability which can lead to better performance. Effective feature representations play an important role in ear(More)
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