A hybrid algorithm for face recognition using PCA, LDA and ANN

Title

A hybrid algorithm for face recognition using PCA, LDA and ANN

Creator

Manukumar N.M.; Hiremath M.

Description

Face recognition is an evolving technique in the field of digital device security. The two procedures Principal Component Analysis and Linear Discriminant Analysis (LDA) are standard methodologies commonly used for feature extraction and dimension reduction techniques extensively used in the recognition of face system. This paper discourse, PCA trailed through a feed forward neural network (FFNN) called PCA-neural network and LDA trailed through feed forward neural network as LDA-neural network are considered for development of hybrid face recognition algorithm. In the current research work, a hybrid model of face recognition is presented with the integration of PCA, LDA, and FFNN. The proposed system experimental results indicate better performance compared to the state of the art literature methods. IAEME Publication.

Source

International Journal of Mechanical Engineering and Technology, Vol-9, No. 3, pp. 85-93.

Date

2018-01-01

Publisher

IAEME Publication

Subject

Face recognition; FFNN; LDA; PCA

Coverage

Manukumar N.M., Department of Computer Science, Christ University, Hosur Road, Bengaluru, India; Hiremath M., Department of Computer Science, Christ University, Hosur Road, Bengaluru, India

Rights

Restricted Access

Relation

ISSN: 9766340

Format

Online

Language

English

Type

Article

Identifier

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044735801&partnerID=40&md5=65848a7f92fb3fe0bf68c6ba3cac8673