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In this paper, we have proposed a robust, acceleration based, pace independent gait recognition framework using Android smartphones. From our extensive experiments using cyclostationarity and continuous wavelet transform spectrogram analysis on our gait acceleration database with both normal and fast paced data, our proposed algorithm has outperformed the state-of-the-art by a great margin. To be...
We propose an acquisition and recognition system based only on periocular biometric using the COTS PTZ camera to tackle the difficulty that the full face recognition approach has encountered in highly unconstrained real-world scenario, especially for capturing and recognizing uncooperative and non-cooperative subjects with expression, closed eyes, and facial occlusions. We evaluate our algorithm on...
In this paper, we will show that eyebrow region can be used as a stand-alone biometric for recognition. We compare the recognition performance of eyebrow with eye and full face following NIST's FRGC Experiment 4 protocol, the most harsh experiment in FRGC ver2.0 database which involves matching 8,014 uncontrolled probe images from 466 subjects to 16,028 controlled target images from the same 466 subjects...
In this paper, we will present a novel framework of utilizing periocular region for age invariant face recognition. To obtain age invariant features, we first perform preprocessing schemes, such as pose correction, illumination and periocular region normalization. And then we apply robust Walsh-Hadamard transform encoded local binary patterns (WLBP) on preprocessed periocular region only. We find...
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