On the Studies and Analyzes of Facial Detection and Recognition Using Machine Learning Algorithms

Navya Thampan; Senthil Arumugam Muthukumaraswamy

doi:10.1007/978-981-19-4863-3_2

On the Studies and Analyzes of Facial Detection and Recognition Using Machine Learning Algorithms

Navya Thampan^*, Senthil Arumugam Muthukumaraswamy

^*Corresponding author for this work

School of Engineering & Physical Sciences

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

Abstract

This paper compares practical machine learning-based algorithms of detection and recognition such as Haar cascade classifier and local binary pattern histogram (LBPH) method against GoogleNet, which uses convolutional neural network (CNN) architecture, using transfer learning. From the comparative analyzes and studies, it was elucidated that LBPH and Haar cascade are computationally efficient, but CNN has more accuracy despite its longer computational time.

Original language	English
Title of host publication	Intelligent System Design
Editors	Vikrant Bhateja, K. V. N. Sunitha, Yen-Wei Chen, Yu-Dong Zhang
Publisher	Springer
Pages	15-27
Number of pages	13
ISBN (Electronic)	9789811948633
ISBN (Print)	9789811948626
DOIs	https://doi.org/10.1007/978-981-19-4863-3_2
Publication status	Published - 2023
Event	7th International Conference on Information System Design and Intelligent Applications 2022 - Hyderabad, India Duration: 25 Feb 2022 → 26 Feb 2022

Publication series

Name	Lecture Notes in Networks and Systems
Volume	494
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	7th International Conference on Information System Design and Intelligent Applications 2022
Abbreviated title	INDIA 2022
Country/Territory	India
City	Hyderabad
Period	25/02/22 → 26/02/22

Keywords

Convolutional neural network
Facial detection
Facial recognition
Haar cascade
Local binary pattern histogram
MATLAB
OpenCV
Transfer learning

ASJC Scopus subject areas

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

Access to Document

10.1007/978-981-19-4863-3_2

Cite this

@inproceedings{0a1b50f4b4944a06943e01edaa976cc3,

title = "On the Studies and Analyzes of Facial Detection and Recognition Using Machine Learning Algorithms",

abstract = "This paper compares practical machine learning-based algorithms of detection and recognition such as Haar cascade classifier and local binary pattern histogram (LBPH) method against GoogleNet, which uses convolutional neural network (CNN) architecture, using transfer learning. From the comparative analyzes and studies, it was elucidated that LBPH and Haar cascade are computationally efficient, but CNN has more accuracy despite its longer computational time.",

keywords = "Convolutional neural network, Facial detection, Facial recognition, Haar cascade, Local binary pattern histogram, MATLAB, OpenCV, Transfer learning",

author = "Navya Thampan and Muthukumaraswamy, {Senthil Arumugam}",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 7th International Conference on Information System Design and Intelligent Applications 2022, INDIA 2022 ; Conference date: 25-02-2022 Through 26-02-2022",

year = "2023",

doi = "10.1007/978-981-19-4863-3_2",

language = "English",

isbn = "9789811948626",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer",

pages = "15--27",

editor = "Vikrant Bhateja and Sunitha, {K. V. N.} and Yen-Wei Chen and Yu-Dong Zhang",

booktitle = "Intelligent System Design",

}

Thampan, N & Muthukumaraswamy, SA 2023, On the Studies and Analyzes of Facial Detection and Recognition Using Machine Learning Algorithms. in V Bhateja, KVN Sunitha, Y-W Chen & Y-D Zhang (eds), Intelligent System Design. Lecture Notes in Networks and Systems, vol. 494, Springer, pp. 15-27, 7th International Conference on Information System Design and Intelligent Applications 2022, Hyderabad, India, 25/02/22. https://doi.org/10.1007/978-981-19-4863-3_2

On the Studies and Analyzes of Facial Detection and Recognition Using Machine Learning Algorithms. / Thampan, Navya; Muthukumaraswamy, Senthil Arumugam.
Intelligent System Design. ed. / Vikrant Bhateja; K. V. N. Sunitha; Yen-Wei Chen; Yu-Dong Zhang. Springer, 2023. p. 15-27 (Lecture Notes in Networks and Systems; Vol. 494).

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

TY - GEN

T1 - On the Studies and Analyzes of Facial Detection and Recognition Using Machine Learning Algorithms

AU - Thampan, Navya

AU - Muthukumaraswamy, Senthil Arumugam

PY - 2023

Y1 - 2023

N2 - This paper compares practical machine learning-based algorithms of detection and recognition such as Haar cascade classifier and local binary pattern histogram (LBPH) method against GoogleNet, which uses convolutional neural network (CNN) architecture, using transfer learning. From the comparative analyzes and studies, it was elucidated that LBPH and Haar cascade are computationally efficient, but CNN has more accuracy despite its longer computational time.

AB - This paper compares practical machine learning-based algorithms of detection and recognition such as Haar cascade classifier and local binary pattern histogram (LBPH) method against GoogleNet, which uses convolutional neural network (CNN) architecture, using transfer learning. From the comparative analyzes and studies, it was elucidated that LBPH and Haar cascade are computationally efficient, but CNN has more accuracy despite its longer computational time.

KW - Convolutional neural network

KW - Facial detection

KW - Facial recognition

KW - Haar cascade

KW - Local binary pattern histogram

KW - MATLAB

KW - OpenCV

KW - Transfer learning

UR - http://www.scopus.com/inward/record.url?scp=85144487734&partnerID=8YFLogxK

U2 - 10.1007/978-981-19-4863-3_2

DO - 10.1007/978-981-19-4863-3_2

M3 - Conference contribution

AN - SCOPUS:85144487734

SN - 9789811948626

T3 - Lecture Notes in Networks and Systems

SP - 15

EP - 27

BT - Intelligent System Design

A2 - Bhateja, Vikrant

A2 - Sunitha, K. V. N.

A2 - Chen, Yen-Wei

A2 - Zhang, Yu-Dong

PB - Springer

T2 - 7th International Conference on Information System Design and Intelligent Applications 2022

Y2 - 25 February 2022 through 26 February 2022

ER -

On the Studies and Analyzes of Facial Detection and Recognition Using Machine Learning Algorithms

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this