A hybrid approach for face recognition using LBP and multi level classifier. (7th February 2023)

• Record Type: Journal Article
• Authors: Gupta, Mukesh Kumar; Dadheech, Pankaj; Kumar, Ankit; Saini, Ashok Kumar; Janu, Neha; Dogiwal, Sanwta Ram
• Is Part Of: International journal of biometrics. Volume 15:Number 3/4(2023)
• Page Start: 359
• Page End: 388
• Publication Date: 2023-02-07
• Subjects: biometrics -- database -- face recognition -- SVM classifier -- random forest; Biometric identification -- Periodicals; Biometry -- Periodicals; 570.15195
• Languages: English
• ISSNs: 1755-8301

Abstract

General face recognition, a task performed by humans in daily activities, is derived from a virtually uncontrolled environment. This paper presents a facial recognition system based on random forest and support vector machine. When compared to previous methods, this approach achieves high accuracy. In this paper, we proposed a hybrid method using SVM and random forest classification. The RF+SVM method predicts rapid growth in popularity. This combined method aids in high recognition speed with a wide range of faces and emotions. We also compared the algorithm to previous techniques. Each experiment made use of a free internet database. In the experiment, 400 photographs of 40 people are used. The reason for the improved results in this paper's hybrid vehicle classification methodology is that it combines the advantages of both traditional SVM and RF class methods. The proposed system has an accuracy of 98.6%.