CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Face and Speech Recognition Fusion in Personal Identification

by Ibiyemi T.s, Aliu S.a, Akintola A.g.
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 23
Year of Publication: 2012
Authors: Ibiyemi T.s, Aliu S.a, Akintola A.g.
10.5120/7498-0617

Ibiyemi T.s, Aliu S.a, Akintola A.g. . Face and Speech Recognition Fusion in Personal Identification. International Journal of Computer Applications. 47, 23 ( June 2012), 36-41. DOI=10.5120/7498-0617

@article{ 10.5120/7498-0617,
author = { Ibiyemi T.s, Aliu S.a, Akintola A.g. },
title = { Face and Speech Recognition Fusion in Personal Identification },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 23 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 36-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number23/7498-0617/ },
doi = { 10.5120/7498-0617 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:42:38.794025+05:30
%A Ibiyemi T.s
%A Aliu S.a
%A Akintola A.g.
%T Face and Speech Recognition Fusion in Personal Identification
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 23
%P 36-41
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Security personnel manning access points most often based their access authorisation on recognition of faces. And it is also very common to base access decision for a person knocking at the door on recognition of his/her voice. The conventional manual method of drawing attention by knocking the door, pressing door bell, or/and shouting one's presence in order to gain access are inefficient and risky. A better method is automatic personal identification based on face and speech recognition which is the subject of this paper. Eigenface method is used for the face recognition. While the speaker and spoken command recognition are both based on the same mel-frequency cepstral coefficients as feature vectors extracted from English and Yorùbá utterances. Experiments yielded 90% face recognition while recognition rates for speakers and the spoken commands were 87% and 74% for utterances in English and Yorùbá respectively. However, the final recognition decision for authorisation or access activation is based on the recognition outcomes of the face recognition and the speech recognition.

References
  1. Ibiyemi T. S. , Ogunsakin J. , Daramola S. A. 2012. "Bi-Modal Biometric Authentication by Face Recognition and Signature Verification", International Journal of Computer Applications, vol. 42, no. 20, pp 17-21.
  2. Ibiyemi T. S. , Akintola A. G. 2012. "Speaker Authentication and Speech Recognition Enabled Telephone Auto-Dial in Yorùbá", International Journal of Science and Advanced Technology, vol. 12, no. 4, pp 88-187.
  3. Ibiyemi T. S. , Aliu S. A. 2003. "Automatic Face Recognition by Computer", Abacus: Mathematics Series, vol 30, no. 2B, September, pp180-188
  4. Ibiyemi T. S. , Aliu S. A. 2002. "On Computation of Optimum Basis Vector for Face Detection and Recognition", Abacus: Mathematics Series, 29(2), pp 144-149
  5. Brian Harding, Cat Jubinski, "A Standalone Face Recognition Access Control System", ECE4760 Final Project Report,
  6. Turk M. , Pentland A. 1991. "Eigenfaces for Recognition", Journal of Cognitive Neuroscience, vol. 3, no. 1, pp71-86 URL: http://people. ece. edu/land/courses/ece4760
  7. Lipeika Antanas, Lipeikiene Joana, Telksnys Laimutis. 2002. " Development of Isolated word Speech Recognition", Informatica, vol. 13, no. 1, 37-46
  8. E-Hocine Bourouba, et al. 2006. "Isolated Words Recognition System Based on Hybrid Approach DTW/GHMM", Informatica 30 373-384
  9. Satyahad Singh, and Rajan E. G. 2011. "MFCC VQ based Speaker Recognition and its Accuracy Affecting Factors", International Journal of Computer Applications, vol. 21, no. 6, pp. 1-6
  10. Rashidul Hasan, Mustafa Jamil, Golam Rabbani, Saifur Rahman. 2004. "Speaker Identification using Mel Frequency Cepstral Coefficients", Proc. 3rd International Conference on Electrical and Computer engineering, ICECE 2004, 28-30 December, Dhaka Bangladesh, pp. 565-568
  11. Srinivasan A. . 2012. "Speaker Identification and Verification using Vector Quantisation and Mel Frequency Cepstral coefficients", Research Journal of Applied Sciences, Engineering and technology", vol. 4, no. 1, pp. 33-40
  12. Allam Musa. 2011,. "MareText Independent Speaker Identification based on K-Means Algorithm", International Journal on Electrical engineering and Informatics, vol. 3, no. 1, pp100-108
  13. Kekre H. B. , and Vaishali Kulkarni. 2010. Performance Comparison of speaker Recognition using Vector Quantization by LBG and KFCG", International Journal of applications, vol. 3, no. 10, pp. 32-37
Index Terms

Computer Science
Information Sciences

Keywords

Face Recognition Speaker And Speech Recognition English And Yorùbá Utterances Access Control

Powered by PhDFocusTM