A Novel Descriptive Approach: Local Tetra Patterns (LTrPs) for Face Recognition

被引：0

作者：

Prabha, B. ^{[1
]}

Shanker, N.R. ^{[2
]}

Priya, M. ^{[3
]}

Ganesh, E. ^{[3
]}

机构：

[1] Koneru Lakshmaiah Education Foundation, Andhra Pradesh, Vaddeswaram, Guntur, India

[2] Aalim Muhammed Salegh College of Engineering, Chennai, India

[3] Saveetha Engineering College, Chennai, India

来源：

Lecture Notes in Electrical Engineering | 2022年 / 828卷

关键词：

D O I：

4th International Conference on Communications and Cyber-Physical Engineering, ICCCE 2021

中图分类号：

学科分类号：

摘要：

Automated video surveillance - Face identification - Facial image recognition - Facial images - Gabor transform - Local binary patterns - Local tetra pattern - Pixel values - Recognition accuracy

引用

页码：967 / 978

共 4 条

[1] Evolutionary fusion of local texture patterns for facial expression recognition
Department of Computer Science, University of Calgary, Calgary
AB, Canada
Proc. Int. Conf. Image Process. ICIP, 2015, (1031-1035):
[2] Facial expression recognition based on local binary patterns and kernel discriminant isomap
Department of Computer Science, Taizhou University, Taizhou 317000, China
不详
Sensors, 10 (9573-9588):
[3] Knight Tour Patterns: Novel Handcrafted Feature Descriptors for Facial Expression Recognition
Kartheek, Mukku Nisanth
Madhuri, Rapolu
Prasad, Munaga V. N. K.
Bhukya, Raju
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2021, 13053 LNCS : 210 - 219
[4] New theoretical analysis of a novel hetero-junction SnS/CdS solar cell with homo-junction P–P+ in the rear face-numerical approach
Oublal, Essaadia
Sahal, Mustapha
Abdelaziz, Ait Abdelkadir
Current Applied Physics, 2022, 39 : 230 - 238

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