Aug 2026· International journal of informatics and applied mathematics· Vol 9, pp. 50-65· 0 citations· 10 references
Abstract
This article proposes a novel approach to recognize facial expression using a combination of three local texture descriptors such as Local Binary Pattern (LBP), Gradient Direction Pattern (GDP) and Local Directional Pattern (LDP). Firstly, we need to perform the pre-process of face image, which includes face detection and face image cropping. Next, we calculate texture descriptors based on LBP, GDP and LDP operators. Histogram sequence concatenation is then applied to these descriptors after dividing the facial image into a number of non-overlapping blocks. Finally, the concatenated histograms represent an input to a Support Vector Machine (SVM), which will be used to classify facial images in one of the six universal expressions. Experimental results using CK+ and JAFFE database show that the proposed approach achieves superior recognition performance compared to the existing studies with classification accuracy of 97.62% and 93.84% respectively.
A non-exclusive learning search-Fossa optimization algorithm integrated with a convolutional neural network (NELS-FOA-CNN) is proposed to select the most relevant features for accurate FER, demonstrating improved performance compared with the baseline GCN.
Aswini Vadladi, Kavitha Valasa, Sruthi Kandukuri et al.· International Journal of Adv...· 0 citations
Face Recognition has gained a great deal of popularity because of its wide range of applications
such as in entertainment, smart cards, information security, law enforcement and surveillance. In
this paper, we proposed a face recognition system for the representation and identification of
facial features of human im...
A. Million· International Journal of Com...· 0 citations
This research proposes Adaptive Local Ternary Pattern (ALTP) that uses a dynamically calculated threshold to determine texture pattern for an image region that outperformed state-of-the-art texture feature descriptors.
Face recognition is a common issue in artificial intelligence. This program was widely used in our daily lives. Several smart phones used facial recognition to open them. Face identification system is intended to protect personal information. When Face book people appear in photos, you may instantly recognize them. Fac...
R. K. Kumar Reddy, S. Kiran· Journal of Science & Technol...· 0 citations
Kinship identification from facial images aims to determine biological relationships between individuals based on shared facial characteristics. However, subtle kinship-related facial cues are often obscured by variations in illumination, pose, age, and facial expressions, making reliable kinship classification challen...
Munzza Bibi, Wakeel Ahmad, S. Adnan et al.· Journal of Computing Theorie...· 0 citations
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