
Santhosh Shivaprakash- Doctor of Philosophy
- Professor at Kalpataru Institute of Technology
Santhosh Shivaprakash
- Doctor of Philosophy
- Professor at Kalpataru Institute of Technology
About
8
Publications
427
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
13
Citations
Introduction
Image Processing, Pattern Recognition, Artificial Intelligence and Machine Learning
Current institution
Additional affiliations
July 2006 - present
Publications
Publications (8)
Face recognition (FR) is the hotspot research area in image processing. FR technique reaches more attention and is widely used in various applications, where it emphasizes to identify the person by utilizing the face images. As it possesses more descriptive constraints, the implementation of FR is a big challenging issue. However, the most pervasiv...
Face recognition is an uncontrollable surveillance system but faces complex issues regarding minimal resolution, expression modification, and motion blur. Nowadays, researchers find more interest in face recognition analysis on pattern recognition and computer vision models. Several advancements in deep learning approaches for face recognition disp...
With the advancement of the internet and multimedia, more and more videos are being generated. In this regard, storing, managing, and indexing many videos have become a major problem. As a result, a system that extracts the relevant data with mixed emotions from the original video is proposed. The main purpose of video exposition is to present a si...
In recent times, most of the Facial Recognition framework has shown better outcomes in a constrained environment. Due to its high usage, the FR has gained increased attention in the research field. However, it has faced various issues in the real-time application, such as facial disguise designing in facial features, temporal variations, and low-qu...
Face Recognition (FR), is one of the biometric techniques which is used to recognize any given face image. Several mechanisms have been recommended for FR; however, in real-time situations, it remains very tedious. In order to differentiate people, a primary approach relies on several conditions like posture variety, illumination, facial occlusion....