Face Spoof Attack Recognition Using Discriminative Image Patches
نویسندگان
چکیده
منابع مشابه
Improving a Discriminative Approach to Object Recognition Using Image Patches
In this paper we extend a method that uses image patch histograms and discriminative training to recognize objects in cluttered scenes. The method generalizes and performs well for different tasks, e.g. for radiograph recognition and recognition of objects in cluttered scenes. Here, we further investigate this approach and propose several extensions. Most importantly, the method is substantiall...
متن کاملSPOOF DETECTION: Application to Face Recognition
Authenticating a correct user plays an important part to protect various types of information, and using biometrics for recognition helps in this. Face biometrics are easily accepted by all as it is easy to use. The recent techniques used for face recognition can be spoofed using cheap equipment’s. In this paper various techniques to detect face spoofing using texture analysis, temperature vari...
متن کاملLearning Dictionaries of Discriminative Image Patches
Remarkable results have been obtained using image models based on image patches, for example sparse generative models for image inpainting, noise reduction and superresolution, sparse texture segmentation or texton models. In this paper we propose a powerful and yet simple approach for segmentation using dictionaries of image patches with associated label data. The approach is based on ideas fr...
متن کاملAdversarial Discriminative Heterogeneous Face Recognition
The gap between sensing patterns of different face modalities remains a challenging problem in heterogeneous face recognition (HFR). This paper proposes an adversarial discriminative feature learning framework to close the sensing gap via adversarial learning on both raw-pixel space and compact feature space. This framework integrates cross-spectral face hallucination and discriminative feature...
متن کاملFace Recognition Using Temporal Image Sequence
We present a face recognition method using image sequence. As input we utilize plural face images rather than a `single-shot', so that the input re ects variation of facial expression and face direction. For the identi cation of the face, we essentially form a subspace with the image sequence and apply the Mutual Subspace Method in which the similarity is de ned by the angle between the subspac...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Electrical and Computer Engineering
سال: 2016
ISSN: 2090-0147,2090-0155
DOI: 10.1155/2016/4721849