In the paper we propose a novel method for face recognition using contourlet transform
(CNT) and curvelet transform (CLT) which improves rate of face recognition under different …

This paper proposes an integrated system for the segmentation and classification of four
moving objects, including pedestrians, cars, motorcycles, and bicycles, from their side-views …

The rapid advancement of technology has significantly improved our ability to interact with
electronic devices and derive meaning from this interaction. One crucial aspect of human …

Universal access on equal terms to audiovisual content is a key point for the full inclusion of
people with disabilities in activities of daily life. As a real challenge for the current …

In a modern meeting room, a smart system to make attendance quickly is mandatory. Most of
the existing systems perform manual attendance, such as registration and fingerprint …

Face recognition is widely used across several biometric applications. Hence, it is very
important that the face recognition system is completely secure and is not prone to any …

Driver Drowsiness Detection model is a model in which the drowsiness of a driver is
detected. Accidents are the very cause that claims lakhs of lives every year and majority of …

Face recognition, one of the biometric computer vision research area, is a pattern
recognition problem which have been done a dozen times since 1960s and it is still a …

Facial landmark detectors can be categorized into global and local detectors. Global facial
landmark detectors rely on global statistical relations between landmarks, but do not …

Emotion recognition holds pivotal significance in human social interactions, as it entails the
discernment of facial patterns intricately linked to diverse emotional states. The scientific …