HOG Based Facial Recognition Approach Using Viola Jones Algorithm and Extreme Learning Machine

Khushwant Sehra, Ankit Rajpal, Anurag Mishra, Girija Chetty

Research output: A Conference proceeding or a Chapter in BookConference contribution

Abstract

Extreme Learning Machine has attracted widespread attention for its exemplary performance in solving regression and classification problems. It is a type of single layer feed-forward neural machine which relies on randomly allocating the input weights and hidden layer biases. Through this, the ELM has been found to possess running time spans which are within millisecond regime. It does not require complex controlling parameters which makes its implementation elementary. This paper investigates the performance of employing Extreme Learning Machine as a classifier to be used for the face recognition problem. Viola Jones algorithm has been employed to detect and extract the faces from the dataset. Finally, Histogram of Oriented Gradients (HOG) features are extracted which form the basis of classification. The scheme so presented has been tested on standard face recognition datasets from AT&T and YALE. The resulting training/testing time spans of the whole scheme range from milliseconds to seconds, dictating the compatibility of ELM with real-time events.

Original languageEnglish
Title of host publicationComputational Science and Its Applications – ICCSA 2019
Subtitle of host publication19th International Conference, Saint Petersburg, Russia, July 1–4, 2019, Proceedings, Part V
EditorsSanjay Misra, Osvaldo Gervasi, Beniamino Murgante, Elena Stankova, Vladimir Korkhov, Carmelo Torre, Ana Maria A.C. Rocha, David Taniar, Bernady O. Apduhan, Eufemia Tarantino
Place of PublicationCham, Switzerland
PublisherSpringer
Pages423-435
Number of pages13
Volume11623
ISBN (Electronic)9783030243081
ISBN (Print)9783030243074
DOIs
Publication statusPublished - 29 Jun 2019
Event19th International Conference on Computational Science and Its Applications, ICCSA 2019 - Saint Petersburg, Russian Federation
Duration: 1 Jul 20194 Jul 2019

Publication series

NameLecture Notes in Computer Science
Volume11623
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Computational Science and Its Applications, ICCSA 2019
CountryRussian Federation
CitySaint Petersburg
Period1/07/194/07/19

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Cite this

Sehra, K., Rajpal, A., Mishra, A., & Chetty, G. (2019). HOG Based Facial Recognition Approach Using Viola Jones Algorithm and Extreme Learning Machine. In S. Misra, O. Gervasi, B. Murgante, E. Stankova, V. Korkhov, C. Torre, A. M. A. C. Rocha, D. Taniar, B. O. Apduhan, ... E. Tarantino (Eds.), Computational Science and Its Applications – ICCSA 2019: 19th International Conference, Saint Petersburg, Russia, July 1–4, 2019, Proceedings, Part V (Vol. 11623, pp. 423-435). (Lecture Notes in Computer Science; Vol. 11623). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-030-24308-1_35