A Novel Feature Descriptor for Face Anti-Spoofing Using Texture Based Method

A Novel Face Spoofing Detection Method Based on Gaze Estimation

Since gaze is a kind of behavioral biometrics which is difficult to be detected by the surveillance due to the ambiguity of visual attention process, it can be used as a clue for anti-spoofing. This work provides the first investigation in research literature on the use of gaze estimation for face spoofing detection. Firstly, a gaze estimation model mapping the gaze feature to gaze position is ...

A novel Local feature descriptor using the Mercator projection for 3D object recognition

Point cloud processing is a rapidly growing research area of computer vision. Introducing of cheap range sensors has made a great interest in the point cloud processing and 3D object recognition. 3D object recognition methods can be divided into two categories: global and local feature-based methods. Global features describe the entire model shape whereas local features encode the neighborhood ...

Anti-spoofing, Face

A Novel Architecture for Detecting Phishing Webpages using Cost-based Feature Selection

Phishing is one of the luring techniques used to exploit personal information. A phishing webpage detection system (PWDS) extracts features to determine whether it is a phishing webpage or not. Selecting appropriate features improves the performance of PWDS. Performance criteria are detection accuracy and system response time. The major time consumed by PWDS arises from feature extraction that ...

Texture Classification using a Linear Configuration Model based Descriptor

Texture classification can be concluded as the problem of classifying images according to textural cues, that is, categorizing a texture image obtained under certain illumination and viewpoint condition as belonging to one of the pre-learned texture classes. Therefore, it would mainly pass through two steps: image representation or description and classification. In this paper, we focus on the ...