Poor quality images can significantly affect the accuracy of iris-recognition systems because they do not have enough feature information. However, existing quality measures have f...
The authors propose a face recognition algorithm robust against the illumination variations, using an average face shape. The objective of this paper is two-fold: (1) to propose a...
A novel face recognition approach is proposed, based on the use of compressed discriminative features and recurrent neural classifiers. Low-dimensional feature vectors are extract...
This paper presents a 3D face recognition system based on geometrically localized facial features. We propose the feature extraction procedure using the geometrical characteristics...
We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...