Parallel Comparative Face Recognition in Ideal and Noisy Conditions using Hidden Markov Model (HMM) and Sparse Recognition

Authors

  • Petya Petrova

Keywords:

face recognition, ideal and noisy conditions

Abstract

The paper presents a comparative study of face recognition in ideal and noisy conditions using Hidden Markov Model (HMM) and Sparse Recognition. A parallel face recognition experiment is performed with these two methods and the results are compared based on the recognition rate.

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Published

2018-05-20

Issue

Vol. 5 No. 1 (2016): Computer Sciences and Communications

Section

Computer Science and Communications - Reviewed Publications. ISSN: 1314-7846

License

Articles published in "Computer Science and Communications" Magazine are licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.  

How to Cite

Parallel Comparative Face Recognition in Ideal and Noisy Conditions using Hidden Markov Model (HMM) and Sparse Recognition. (2018). COMPUTER SCIENCES AND COMMUNICATIONS, 5(1), 60-65. https://csc.bfu.bg/index.php/CSC/article/view/76

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