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Tamper resistance evaluation of PUF implementation against machine learning attack
Recently, the semiconductor counterfeiting has become a serious problem. To counter this problem, Physical Unclonable Function (PUF) has been attracted attention. However, the risk of machine learning attacks for PUF is pointed out. To verify the safety ...
An improved artificial bee colony algorithm for 3D protein structure prediction
One of the key problems in the field of bioinformatics is protein structure prediction. The thermodynamic hypothesis demonstrates that protein's energy is the lowest in nature state. So protein's structure can be gotten directly by protein sequence's ...
PCA filter based covariance descriptor for 2.5D face recognition
Region covariance matrix (RCM) as a feature descriptor is shown promising in various object detection and recognition tasks. However, vanilla RCM breaks down in face recognition due to its inadequacy in extracting discriminative features from facial ...
Face template protection via random permutation maxout transform
Face template protection is of great interest nowadays due to the increasing concerns on privacy and security of the face templates stored in the databases. There were many attempts to develop plausible face template protection schemes that can satisfy ...
Ear verification based on a novel local feature extraction
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, ...
Face recognition using multiresolution wavelet combining discrete cosine transform and Walsh transform
In this paper a face recognition system based on multi resolution hybrid wavelet approach has been presented. The multi resolution hybrid wavelet transform matrix is generated using Kronecker product of Walsh and DCT transform matrices. This wavelet is ...
Fingerprint classification based on a Q-Gaussian multiclass support vector machine
Accurate recognition and actual classification of fingerprint are vital and necessary for fingerprint identification. Previous researchers have used many classification algorithms to develop fingerprint classification model, but they still have some ...
Active contour model combining local and global information dynamically with application to segment brain MR images
With the rapid development of medical imaging technology, the image segmentation has a special significance in medical applications. It's known that intensity inhomogeneity is one of the important features of magnetic resonance (MR) images, which ...
Effect of propagation signal and path on verification performance using intra-body propagation signals
Biometrics is the verification or the identification method of users by measuring and analyzing their biometric data, which is only applicable to continuous authentication in a system. In particular, unconsciously presentable biometric modalities are ...