This paper presents a comprehensive review of Automatic Facial Recognition Systems
using integrative and systematic mapping approach. The review is grounded on criteria …

Face Recognition is a challenging task for recognizing and detecting the identity of an
individual. Although, plethora of work has already been done in the field of pattern …

This research paper introduces two novel color descriptors for Face Recognition (FR) called
as Color ZigZag Binary Pattern (CZZBP) and Color Median Block ZigZag Binary Pattern …

Over the past few decades, face recognition has become the most effective biometric
technique in recognizing people's identity, as it is widely used in many areas of our daily …

In this paper, we propose a robust face recognition model called DeepWTPCA-L 1 using
WTPCA-L 1 features and a CNN-LSTM architecture. First, WTPCA-L 1 algorithm, composed …

Across the globe, agricultural yield faces numerous challenges, including unpredictable
weather patterns, resource constraints, and the ever-present threat of plant diseases. Early …

Reducing noise pollution in signals is of great significance in the field of signal detection. In
order to reduce the noise in the signal and improve the signal-to-noise ratio (SNR), this …

In this paper, we present the architecture of a smart imaging sensor (SIS) for face
recognition, based on a custom-design smart pixel capable of computing local spatial …

This paper proposes a novel and robust predictive method using modified spider monkey
optimization (MSMO) and probabilistic neural network (PNN) for face recognition. The …

The big data concept has elicited studies on how to accurately and efficiently extract
valuable information from such huge dataset. The major problem during big data mining is …