1 - 6 of 6 articles
A multimodal biometric system using feature fusion and hybrid fusion of face and iris is proposed. A novel feature level fusion of face and iris features, using both low and high frequency sub-bands of discrete wavelet transform (DWT), and principal component analysis (PCA) is designed. The...
The multi-resolution analysis is more appropriate for extracting information from measured data, because it is generally multi-scale in nature. This paper proposes a new approach for ear representation, based on multi-resolution analysis framework. Such representation relies on significantly...
In this paper, a framework is proposed to super-resolve low resolution ear images and to recognise these images, without external dataset. This frame uses linear kernel co-variance function-based Gaussian process regression to super-resolve the ear images. The performance of the proposed...
Several decades ago, attention was directed to biometrics as an alternative to passwords that can be discovered or 'shoulder surfing' by others. Various authentication methods have been provided that rely on the user's biometrics, such as a fingerprint of a face, iris, voice, and others....
Security on smartphones has become a substantial topic since the amount of security relevant data and information stored on them has been increasing. While the password is commonly used as a traditional approach for user authentication, it suffers from a security-usability trade-off dilemma....
In this paper, a two-phase palmprint recognition approach is proposed based on statistical features and wide principal line image features through dynamic region of interest (ROI). The ROI is segmented into overlapping segments by six schemes, and the statistical features are extracted directly...
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