Although face recognition confronts several challenges, it has garnered considerable
attention over the last two decades. A new proposal of local directional pattern (LDP) …

Face recognition is used to identity a person effectively and most effective physiological
biometric trait. In this paper, we propose sorting pixels-based face recognition using Discrete …

Information fusion is a solution espoused for enhancing a pattern recognition system's
performance. A single representation précises the information and presents a single cue on …

Varying effects in face recognition often causes intrapersonal variations due to which
efficient feature extraction is desirable. In this work, a significant feature extraction technique …

In this thesis, discrete wavelet transform based on co-occurrence matrix used to feature
extraction and the nearest neighborhood method used to find the optimum features between …

Nowadays, the face is one of the typical biometrics that has high-security technology in the
biometrics field. In face recognition systems, feature extraction is considered as one of the …

This paper presents a novel algorithm local multiple zig-zag structure pattern (LMZSP) for
face recognition. The proposed method modifies the Weber's ratio and obtains the local …

Over the last two decades, face recognition (FR) has become one of the most prevailing
biometric applications for effective people identification as it offers practical advantages over …

This paper addresses the issue of human face recognition in presence of expression
variations, which pose a great challenge to face recognition systems. Typically, the …

Facial recognition is used in many fields such as verification, communication, and other
fields. The success of facial analysis is influenced by noise from environmental factors such …