Optimization of Facial Images to Predict Gender Using HDSON and Bidirectional Associative Memory

Shoba Rani Salvadi; D Nagendra Rao; S Vathsal

doi:10.17485/IJST/v16i17.2481

Article

Optimization of Facial Images to Predict Gender Using HDSON and Bidirectional Associative Memory

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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v16i17.2481

Year: 2023, Volume: 16, Issue: 17, Pages: 1276-1283

Original Article

Optimization of Facial Images to Predict Gender Using HDSON and Bidirectional Associative Memory

Shoba Rani Salvadi^1*, D Nagendra Rao², S Vathsal³

¹Research scholar, Jawaharlal Nehru Technological University, Hyderabad, Telangana, India
²Professor and Principal, Abhinav-Hitech College of Engineering, Moinabad, Telangana, India
³Retired DRDO Scientist

*Corresponding Author
Email: [email protected]

Received Date:26 December 2022, Accepted Date:03 February 2023, Published Date:02 May 2023

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objective: To enhance the Gender prophecy by employing facial images using imaginative algorithm and to resolve real time applications. Method: Initially, we make use of shared deep octonion network and the Octonion-Valued Neural Network (OVNN) to develop a generic framework for a Hybrid Deep Sparse Octonion Network (HDSON). Sparse Coding Octonion data Algorithm (SCOA) is exploited to depict the face images up to seven color channels and improves the weight of HDSON. Furthermore, to take advantage of the maximum storage we make use of Bidirectional Associative Memories (BAM). Findings: The proposed approach resolves both the issues of depiction of the facial image and its storage, since the present study combines the characteristics of SCOA to improve HDSON weight and BAM to enhance the storage. Moreover, the present study is simple to apply and effective in real time applications. Novelty: The proposed approach can be used in paramilitary to minimize cross border terrorism; in addition, the presented scheme can enhance the probability of child detection and may help local police to a large extent.

Keywords: Automatic Gender Classification; BAM; DCN; HDSON; Octonion; SCOA; OVNN

References

Scheuerman MK, Paul JM, Brubaker JR. How computers see gender: An evaluation of gender classification in commercial facial analysis services. Proceedings of the ACM on Human-Computer Interaction. 2019;3:1–33. Available from: https://doi.org/10.1145/3359246
Wu W, Protopapas P, Yang Z, Michalatos P. Gender Classification and Bias Mitigation in Facial Images. 12th ACM Conference on Web Science. 2020;p. 106–114. Available from: https://doi.org/10.1145/3394231.3397900
Ramalakshmik TJ, Jebaseeli, Venkatesan R. Prediction of Gender from Facial Image Using Deep Learning Techniques. Journal of Mechanics of Continua and Mathematical Sciences. 2021;15(2). Available from: https://doi.org/10.26782/jmcms.2020.02.00010
Rasheed J, Waziry S, Alsubai S, Abu-Mahfouz AM. An Intelligent Gender Classification System in the Era of Pandemic Chaos with Veiled Faces. Processes. 2022;10(7):1427. Available from: https://doi.org/10.3390/pr10071427
Smith P, Chen C. Transfer Learning with Deep CNNs for Gender Recognition and Age Estimation. 2018 IEEE International Conference on Big Data (Big Data). 2018;p. 2564–2571. Available from: https://doi.org/10.1109/BigData.2018.8621891
Lee JHH, Chan YMM, Chen TYY, Chen CSY. Joint Estimation of Age and Gender from Unconstrained Face Images Using Lightweight Multi-Task CNN for Mobile Applications. 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR). 2018. Available from: https://doi.org/10.1109/MIPR.2018.00036
Gupta SK, Nain N. Review: Single attribute and multi attribute facial gender and age estimation. Multimedia Tools and Applications. 2023;82(1):1289–1311. Available from: https://doi.org/10.1007/s11042-022-12678-6
Taha AM, Zarandah QM, Abu-Nasser BS, Alkayyali ZK, Abu-Naser SS. Gender Prediction from Retinal Fundus Using Deep Learning. International Journal of Academic Information Systems Research. 2022;(5) 6. Available from: https://philarchive.org/archive/TAHGPF
Di R. Image Classification Using Network Inception- Architecture & Applications. International Journal of Innovative Research in Science Engineering and Technology. 2021;10:329–333. Available from: https://doi.org/10.15680/IJIRSET.2021.1001055
Moumen T, El-Melegy AT, Kamal. Linear Regression Classification in the Quaternion and Reduced Biquaternion Domains. IEEE Signal Processing Letters. 2022;29:469–473. Available from: https://doi.org/10.1109/LSP.2022.3140682
Islam MM, Baek JH. Deep Learning Based Real Age and Gender Estimation from Unconstrained Face Image towards Smart Store Customer Relationship Management. Applied Sciences. 11(10):4549. Available from: https://doi.org/10.3390/app11104549
Fernandez FA, Hernandez‐Diaz K, Ramis S, Perales FJ, Bigun J. Facial masks and soft‐biometrics: Leveraging face recognition CNNs for age and gender prediction on mobile ocular images. IET Biometrics. 2021;10(5):562–580. Available from: https://doi.org/10.1049/bme2.12046
C D, N NU, Maddikunta PKR, Gadekallu TR, Iwendi C, Wei C, et al. Identification of malnutrition and prediction of BMI from facial images using real-time image processing and machine learning. IET Image Process. 2022;16:647–658. Available from: https://doi.org/10.1049/ipr2.12222
Katna R, Kalsi K, Gupta S, Yadav D, Yadav AK. Machine learning based approaches for age and gender prediction from tweets. Multimedia Tools and Applications. 2022;81(19):27799–27817. Available from: https://doi.org/10.1007/s11042-022-12920-1
Shishegar S, Ghorbani R, Saoud LS, Duchesne S, Pelletier G. Rainfall-runoff modelling using octonion-valued neural networks. Hydrological Sciences Journal. 2021;(13) 1857–1865. Available from: https://doi.org/10.1007/s11042-022-12920-1
Jose JA, Kumar CS, Sureshkumar S. Region-Based Split Octonion Networks with Channel Attention Module for Tuna Classification. International Journal of Pattern Recognition and Artificial Intelligence. 2022;36(07):2250030. Available from: https://doi.org/10.1142/S0218001422500306
Chouhan SS, Kumar R, Sarkar S, Das S. Multistability analysis of octonion-valued neural networks with time-varying delays. Information Sciences. 2022;609:1412–1434. Available from: https://doi.org/10.1016/j.ins.2022.07.123
Xiao J, Guo X, Li Y, Wen S, Shi K, Tang Y. Extended analysis on the global Mittag-Leffler synchronization problem for fractional-order octonion-valued BAM neural networks. Neural Networks. 2022;154:491–507. Available from: https://doi.org/10.1016/j.neunet.2022.07.031
Kandasamy U, Rajan R. Hopf bifurcation of a fractional-order octonion-valued neural networks with time delays. Discrete & Continuous Dynamical Systems - S. 2020;13(9):2537–2559. Available from: https://doi.org/10.3934/dcdss.2020137
Humphries U, Rajchakit G, Kaewmesri P, Chanthorn P, Sriraman R, Samidurai R, et al. Global Stability Analysis of Fractional-Order Quaternion-Valued Bidirectional Associative Memory Neural Networks. Mathematics. 2020;8(5):801. Available from: https://doi.org/10.3390/math8050801
Saoud LS, Al-Marzouqi H. Metacognitive Sedenion-Valued Neural Network and its Learning Algorithm. IEEE Access. 2020;8:144823–144838. Available from: https://doi.org/10.1109/ACCESS.2020.3014690
Aimeur K, Saoud LS, Ghorbani R. Short-Term Solar Irradiance Forecasting and Photovoltaic System Management Using Octonion Neural Networks. Applied Solar Energy. 2020;56(3):219–226. Available from: https://doi.org/10.3103/S0003701X20030020

Copyright

© 2023 Salvadi et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)