Sound-event classification often extracts features from an image-like spectrogram. Recent
approaches such as spectrogram image feature and subband-power-distribution image …

This study analyzes the effectiveness of the global (the whole face) and local (regions of
eyes, nose, and mouth) features for face recognition. Features describing human faces are …

This paper presents a novel descriptor named Region based Extensive Response Index
Pattern (RETRaIN) for facial expression recognition. The RETRaIN encodes the relation …

Alzheimer's disease (AD) is a Dementia among older people which causes neurological
degradation. Mild Cognitive Impairment [1](MCI) is a condition which could progress and …

In this paper, under different illuminations and random noises, focusing on the local texture
feature's defects of a face image that cannot be completely described because the threshold …

This paper presents the design and implementation of real-time face detection using Local
Ternary Pattern (LTP). First, an input image is transferred by the Camlink interface and the …

In this paper, we proposed discover and safe (DaS) automatic security system by the help of
face recognition. The focus of this automated system is to provide high-level security to …

In this paper we propose the adaptive soft histogram local binary pattern (ASLBP) for face
recognition. ASLBP is an extension of the soft histogram local binary pattern (SLBP) …

Chapter 2 explores a novel computational intelligence (CI) approach called spider network
classification of basic hand movements. This CI approach provides an effective solution for …

Computer vision and pattern recognition technologies have made a significant advancement
in the recent past. A key application of this is face recognition. Its applications resonate in …