A novel face recognition method using PCA, LDA and support vector machine

U. Raghavendra; P. K. Mahesh; Anjan Gudigar

doi:10.1007/978-3-642-27308-7_25

A novel face recognition method using PCA, LDA and support vector machine

U. Raghavendra, P. K. Mahesh, Anjan Gudigar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

Here an efficient and novel approach was considered as a combination of PCA, LDA and support vector machine. This method consists of three steps: I) dimension reduction using PCA, ii) feature extraction using LDA, iii) classification using SVM. Combination of PCA and LDA is used for improving the capability of LDA when new samples of images are available and SVM is used to reduce misclassification caused by not linearly separable classes.

Original language	English
Title of host publication	Advances in Computer Science and Information Technology
Subtitle of host publication	Computer Science and Engineering - Second International Conference, CCSIT 2012, Proceedings
Pages	241-249
Number of pages	9
Volume	85
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-27308-7_25
Publication status	Published - 2012
Event	2nd International Conference on Computer Science and Information Technology, CCSIT 2012 - Bangalore, India Duration: 02-01-2012 → 04-01-2012

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Number	PART 2
Volume	85
ISSN (Print)	1867-8211

Conference

Conference	2nd International Conference on Computer Science and Information Technology, CCSIT 2012
Country/Territory	India
City	Bangalore
Period	02-01-12 → 04-01-12

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

Access to Document

10.1007/978-3-642-27308-7_25

Cite this

Raghavendra, U., Mahesh, P. K., & Gudigar, A. (2012). A novel face recognition method using PCA, LDA and support vector machine. In Advances in Computer Science and Information Technology: Computer Science and Engineering - Second International Conference, CCSIT 2012, Proceedings (PART 2 ed., Vol. 85, pp. 241-249). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 85, No. PART 2). https://doi.org/10.1007/978-3-642-27308-7_25

Raghavendra, U. ; Mahesh, P. K. ; Gudigar, Anjan. / A novel face recognition method using PCA, LDA and support vector machine. Advances in Computer Science and Information Technology: Computer Science and Engineering - Second International Conference, CCSIT 2012, Proceedings. Vol. 85 PART 2. ed. 2012. pp. 241-249 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; PART 2).

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abstract = "Here an efficient and novel approach was considered as a combination of PCA, LDA and support vector machine. This method consists of three steps: I) dimension reduction using PCA, ii) feature extraction using LDA, iii) classification using SVM. Combination of PCA and LDA is used for improving the capability of LDA when new samples of images are available and SVM is used to reduce misclassification caused by not linearly separable classes.",

author = "U. Raghavendra and Mahesh, {P. K.} and Anjan Gudigar",

year = "2012",

doi = "10.1007/978-3-642-27308-7_25",

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Raghavendra, U, Mahesh, PK & Gudigar, A 2012, A novel face recognition method using PCA, LDA and support vector machine. in Advances in Computer Science and Information Technology: Computer Science and Engineering - Second International Conference, CCSIT 2012, Proceedings. PART 2 edn, vol. 85, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, no. PART 2, vol. 85, pp. 241-249, 2nd International Conference on Computer Science and Information Technology, CCSIT 2012, Bangalore, India, 02-01-12. https://doi.org/10.1007/978-3-642-27308-7_25

A novel face recognition method using PCA, LDA and support vector machine. / Raghavendra, U.; Mahesh, P. K.; Gudigar, Anjan.
Advances in Computer Science and Information Technology: Computer Science and Engineering - Second International Conference, CCSIT 2012, Proceedings. Vol. 85 PART 2. ed. 2012. p. 241-249 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 85, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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PY - 2012

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AB - Here an efficient and novel approach was considered as a combination of PCA, LDA and support vector machine. This method consists of three steps: I) dimension reduction using PCA, ii) feature extraction using LDA, iii) classification using SVM. Combination of PCA and LDA is used for improving the capability of LDA when new samples of images are available and SVM is used to reduce misclassification caused by not linearly separable classes.

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Raghavendra U, Mahesh PK, Gudigar A. A novel face recognition method using PCA, LDA and support vector machine. In Advances in Computer Science and Information Technology: Computer Science and Engineering - Second International Conference, CCSIT 2012, Proceedings. PART 2 ed. Vol. 85. 2012. p. 241-249. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; PART 2). doi: 10.1007/978-3-642-27308-7_25

A novel face recognition method using PCA, LDA and support vector machine

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