Autors: Dinkova P., Georgieva P., Manolova, A. H., Milanova M.
Title: Face recognition based on subject dependent Hidden Markov Models
Keywords: Hidden Markov models , Face recognition , Face , Training ,

Abstract: In this paper we present an automatic face recognition system based on incremental Singular Values Decomposition (SVD) and subject dependent Hidden Markov Models (HMM). For each subject, an individual HMM is trained with features, extracted from the orthogonal decomposition (SVD) of the subject's training images. The main advantage of the proposed SVD-HMM recognition system is the robustness against image dimensionality reduction. The system was tested on two benchmark face datasets - the Olivetti Research Laboratory (ORL) and the YALE database. The SVD-HMM was further compared with a standard SVD face recognition. SVD applied to the original (full size) images performs similarly to the SVD-HMM applied to the compressed (half of the original size) images. SVD degrades rapidly when the image is compressed.

References

    Issue

    IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), pp. 1-5, 2016, Bulgaria, IEEE, DOI 10.1109/BlackSeaCom.2016.7901570

    Copyright IEEE

    Цитирания (Citation/s):
    1. Madhavan, Suresh, and Nitin Kumar. "Incremental methods in face recognition: a survey." Artificial Intelligence Review (2019): 1-51. - 2019 - в издания, индексирани в Scopus или Web of Science
    2. Yuwono, Kevin Alamsyah, Irma Safitri, and Iwan Iwut Tritoasmoro. "Artificial Neural Networks Android-Based Interface Facial Recognition Systems." In 2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), pp. 248-252. IEEE - 2019 - в издания, индексирани в Scopus или Web of Science
    3. Madhavan, S., & Kumar, N. (2021). Incremental methods in face recognition: a survey. Artificial Intelligence Review, 54(1), 253-303. - 2021 - в издания, индексирани в Scopus или Web of Science
    4. Farhan, H. R., Al-Muifraje, M. H., & Saeed, T. R. (2020). A new model for pattern recognition. Computers & Electrical Engineering, 83, 106602. - 2020 - в издания, индексирани в Scopus или Web of Science
    5. Sharma, S., Bhatt, M., & Sharma, P. (2020, June). Face Recognition System Using Machine Learning Algorithm. In 2020 5th International Conference on Communication and Electronics Systems (ICCES) (pp. 1162-1168). IEEE. - 2020 - в издания, индексирани в Scopus или Web of Science
    6. Alam, M. M., Khan, M. A. R., Salehin, Z. U., Uddin, M., Soheli, S. J., & Khan, T. Z. (2020). Combined PCA-Daugman Method: An Effcient Technique for Face and Iris Recognition. Journal of Advances in Mathematics and Computer Science, 34-44. - 2020 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    7. Alam, M., Khan, M., Rahman, A., Salehin, Z. U., Das, R. C., Uddin, M., & Soheli, S. J. (2022). Combined PCA–Segmentation Method: An Efficient Technique for Covered Face Recognition. In Soft Computing for Security Applications (pp. 831-839). Springer, Singapore. - 2021 - в издания, индексирани в Scopus или Web of Science
    8. Shirahattti, M. S., Gatge, P., Kulkarni, P., Uzair, S., & Pasha, Z. (2021). IOT BASED SMART DOOR WITH DUAL SECURITY VERIFICATION. - 2021 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    9. Ali, D., Touqir, I., Siddiqui, A. M., Malik, J., & Imran, M. (2022). Face Recognition System Based on Four State Hidden Markov Model. IEEE Access, 10, 74436-74448. - 2022 - в издания, индексирани в Scopus или Web of Science
    10. Yasser, M., Hussain, K. F., & Ali, S. A. E. F. (2022). An Efficient Hyperdimensional Computing Paradigm for Face Recognition. IEEE Access, 10, 85170-85179. - 2022 - в издания, индексирани в Scopus или Web of Science
    11. Alam, M., Khan, M., Rahman, A., Salehin, Z. U., Das, R. C., Uddin, M., & Soheli, S. J. (2022). Combined PCA–Segmentation Method: An Efficient Technique for Covered Face Recognition. In Soft Computing for Security Applications (pp. 831-839). Springer, Singapore. - 2022 - в издания, индексирани в Scopus или Web of Science
    12. Reddy, R. P. K., & Kiran, S. Efficient Face Features Extraction and Recognition Using Principal Component Analysis.Journal of Science and Technology ISSN: 2456-5660 Volume 06, Issue 04, July-August 2021 - 2021 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus и Web of Science