Effectiveness of new algorithms for facial recognition based on deep neural networks

Document Type : Research Paper

Authors

Department of Applied Science, University of Technology, Baghdad, Iraq

Abstract

The applications of image classification occupied a wide field in the recognition of faces using the Convolutional Neural Network (CNN) with the mathematical aspect of deep learning based on the MATLAB program. This is not only facial recognition, but also recognizing the parts of the face, eye, mouth, and nose after designing programs in addition to the new algorithms with the theory of CascadeObjectDetector and trainCascadeObjectDetector. The benefit of this work emerges in the areas of security, airports, markets, and so on.

Keywords

[1] A.A. Abdulrahman and F.S. Tahir, Face recognition using enhancement discrete wavelet transform based on MATLAB, Indones. J. Elect. Engin. Comput. Sci. 23(2) 2021 1128–1136.
[2] A.A. Abdulrahman, M.S. Rasheed and S.N. Shihab, The analytic of image processing smoothing spaces using wavelet, J. Phys. Conf. Ser. 1879(2) (2021) 1–15.
[3] A.A. Abdulrahman, M.S. Rasheed and S.N. Shihab, A Novel predictor-corrector Hally technique for determining the parameters for nonlinear solar cell equation, J. Phys. Conf. Ser. 1879(2) (2021) 1–15.
[4] A.M. Abduldaim and M.Q. Hamid, Robust image watermarking based on QR factorization and LWT, Int. J. Engin. Technol. 7(4) (2019) 5358–5362.
[5] F. Alkhalid, The effect of optimizers in fingerprint classification model utilizing deep learning, Indones. J. Elect. Engin. Comput. Sci. 20(2) (2020) 1098–1102.
[6] H.A. Almurieb and E.S. Bhaya, Best neural simultaneous approximation, Indones. J. Elect. Engin. Comput. Sci. 20(3) (2020) 1584–1590.
[7] A. M. A. Hossen, R. A. A. Ogla, and M. M. Ali, Face detection by using OpenCV’s Viola-Jones algorithm based on coding eyes, Iraqi J. Sci. 58(2A) (2017) 735–745.
[8] H. Al-Khazraji, S. Khlil and A. Zina, Industrial picking and packing problem: Logistic management for products expedition, J. Mech. Engin. Res. Develop. 43(2) (2020) 74–80.
[9] T.S. Arulananth, M. Baskar and R. Sateesh, Human face detection and recognition using contour generation and matching algorithm, Indones. J. Elect. Engin. Comput. Sci. 16(2) (2019) 709–714.
[10] R.I. Bendjillali, M. Beladgham, K. Merit and A. Taleb-Ahmed, Illumination-robust face recognition based on deep convolutional neural networks architectures, Indones. J. Elect. Engin. Comput. Sci. 18(2) (2020) 1015–1027.
[11] El. Cherrat, R. Alaoui and H. Bouzahir, A multimodal biometric identification system based on cascade advanced of fingerprint, finger-vein and face images, Indones. J. Elect. Engin. Comput. Sci. 18(1) (2020) 1562–1570.
[12] H.H. Khairi, S.H.S. Ariffin, N.M. Abdul Latiff, K.M. Yusof, M.K. Hassan and M. Rava, The impact of firewall on TCP and UDP throughput in an OpenFlow software-defined network, Indones. J. Elect. Engin. Comput. Sci. 20(1) (2020) 256–263.
[13] S. Khlil1, H. Al-Khazraji and Z. Alabacy, Solving Assembly Production Line Balancing Problem Using Greedy Heuristic Method, IOP Conf. Ser. Materials Sci. Engin. 745(012068) (2020) 1–7.
[14] S. Khlil, H. Alkhazraji and Z. Alabacy, Investigation of the process capability of water pump plastic cover manufacturing, Indones. J. Elect. Engin. Comput. Sci. 9(11) (2018) 349–359.
[15] S. laith, F.S.T. Al-Azawi and A.A. Abdulrahman, Detection face parts in image using neural network based on MATLAB, Engin. Technol. J. 39(1) (2021) 159–164.
[16] S. Laith, A.A. Abdulrahman and F.S.T. Al-Azawi, Face detection for color image based on MATLAB, J. Phys. Conf. Ser. 1879 (2021) 1–10.
[17] H. Mohamed and K. Wang, Parallel score fusion of ECG and fingerprint for human authentication based on convolution neural network, Comput. Secur. 81 (2019) 107–122.
[18] E.S. Negara, R. Andryani and R. Amanda, Network analysis of Youtube videos based on keyword search with graph centrality approach, Indones. J. Elect. Engin. Comput. Sci. 22(2) (2021) 780–786.
[19] M. Rasheed, A.Abdulelah and S. Shihab, The effect of set partitioning in hierarchical trees with wavelet decomposition levels algorithm for image compression, Elect. Sci. Technol. Appl. 7 (2020) 40–46.
[20] H.F.S. Saipol and N. Alias, Numerical simulation of DIC drying process on Matlab distributed computing server, Indones. J. Elect. Engin. Comput. Sci. 20(1) (2020) 338–346.
[21] S.A. Salman and A. H. Abd-Almeer, Clotting detection in the vascular network, Indones. J. Elect. Engin. Comput. Sci. 20(2) (2020) 1103–1108.
[22] F. Shaker and A. Abdulelah, Face detection by some methods based on MATLAB, J. Al-Qadisiyah Comput. Sci. Math. 12(4) (2020) 12–17.
[23] R. Singh and M. Kaur, Face recognition and detection using Viola-Jones and cross-correlation method, Int. J. Sci. Res. 4(1) (2015) 2498–2501.
[24] K. Syazana-Itqan, A.R. Syafeeza and N.M Saad, A MATLAB-based convolutional neural network approach for face recognition system, J. Bioinf. Proteomics Rev. 2(1) (2016) 1–5.
[25] F.S. Tahir, A.A. Abdulrahmana and Z.H. Thanonb, Novel face detection algorithm with a mask on neural network training, Int. J. Nonlinear Anal. Appl. 13(1) (2022) 209–215
[26] W.J. Wong and Sh.-H. Lai, Multi-task CNN for restoring corrupted fingerprint images, Pattern Recog. 101 (2020) 107203.
Volume 13, Issue 1
March 2022
Pages 2171-2178
  • Receive Date: 02 December 2021
  • Accept Date: 27 December 2021