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Ocular recognition is expected to provide a higher flexibility in handling practical applications as oppose to the iris recognition, which only works for the ideal open-eye case. However, the accuracy of the recent efforts is still far from satisfactory at uncontrollable conditions, such as eye blinking which implies any poses of eyes. To address these issues, the skin texture, eyelids, and additional...
A new feature descriptor based on the statistical modeling of wavelet output is proposed for vehicle verification problem. The Generalized Gaussian Distribution (GGD) offers accurate statistical fitting for the real and imaginary part of Gabor and Dual-Tree Complex Wavelet Transform (DT-CWT) output. Consequently, the descriptor is simply composed from the GGD parameters of Gabor and DT-CWT output...
This paper presents a new face gender recognition scheme by enjoying the benefit from the dot diffusion among weak classifiers in recognition phase for a low resolution and non-aligned thumbnail image. The main problem of the former Adaboost approaches is that each weak classifier simply offers a binary decision, which fails to compensate the decision error by diffusing it to the rest weak classifiers...
This paper presents an improved Appearance-based Average Face Difference (AAFD) scheme for face gender recognition with a low resolution and non-align thumbnail image. The main problem of the former appearance-based approaches is that not all the information is equally important in a face sub-window. Some regions in a face sub-window may have similar feature for both male and female, and some regions...
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