The object of research is the algorithm piecewise linear approximation when applying it to selection facial features and compression its images. One problem areas obtain optimal ratio degree accuracy image reproduction, as well obtained features, which can be used search for people in databases. main characteristics face are coordinates size eyes, mouth, nose other objects attention. Dimensions...

A biometric authentication system is more convenient and secure than graphical or textual passwords when accessing information systems. Unfortunately, systems have the disadvantage of being susceptible to spoofing attacks. Authentication schemes based on biometrics, including face recognition, are spoofing. This paper proposes an image encryption scheme counter attacks by integrating it into pi...

We consider the problem of perturbing a face image in such a way that it cannot be used to ascertain soft biometric attributes such as age, gender and race, but can be used for automatic face recognition. Such an exercise is useful for extending different levels of privacy to a face image in a central database. In this work, we focus on masking the gender information in a face image with respec...

Enhancing low resolution images via super-resolution or image synthesis for cross-resolution face recognition has been well studied. Several image processing and machine learning paradigms have been explored for addressing the same. In this research, we propose Synthesis via Deep Sparse Representation algorithm for synthesizing a high resolution face image from a low resolution input image. The...

Face super-resolution is a technology that transforms low-resolution face image into the corresponding high-resolution one. In this paper, we build novel parsing map guided network which extracts prior (i.e., map) directly from for following utilization. To exploit extracted fully, attention fusion block carefully designed, can not only effectively explore information of map, but also combines ...

In this paper a new approach to face recognition is presented that achieves double dimension reduction, making the system computationally efficient with better recognition results and out perform common DCT technique of face recognition. In pattern recognition techniques, discriminative information of image increases with increase in resolution to a certain extent, consequently face recognition...