Optimization of K-nearest neighbor using particle swarm optimization for face recognition

Face biometric has received more attention to recognize a person in a right way. However, the face recognition is considered to be hard due to size, ethnicity, illumination, pose, various expression, and age. In this work, a novel approach is proposed to recognize the human face based on K-nearest n...

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Vydáno v:	Neural computing & applications Ročník 31; číslo 11; s. 7935 - 7944
Hlavní autoři:	Sasirekha, K., Thangavel, K.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Springer London 01.11.2019 Springer Nature B.V
Témata:	Algorithms Ant colony optimization Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Face recognition Facial recognition technology Feature extraction Genetic algorithms Heuristic methods Image Processing and Computer Vision K-nearest neighbors algorithm Multilayer perceptrons Optimization Original Article Particle swarm optimization Probability and Statistics in Computer Science Support vector machines Webcams Face biometric GA KNN LBP ACO PSO
ISSN:	0941-0643, 1433-3058
On-line přístup:	Získat plný text
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