A New Hybrid Model to Predict Human Age Estimation from Face Images Based on Supervised Machine Learning Algorithms

1 Xie, J.-C., C.-M. Pun. Deep and Ordinal Ensemble Learning for Human Age Estimation from Facial Images. – IEEE Transactions on Information Forensics and Security, Vol. 15, 2020, pp. 2361-2374. Search in Google Scholar

2 Cao, W., V. Mirjalili, S. Raschka. Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation. – Pattern Recognition Letters, Vol. 140, 2020, pp. 325-331. Search in Google Scholar

3 Liu, X., et al. Face Image Age Estimation Based on Data Augmentation and Lightweight Convolutional Neural Network. – Symmetry, Vol. 12, 2020, No 1, 146. Search in Google Scholar

4 Bekhouche, S. E., et al. A Comparative Study of Human Facial Age Estimation: Handcrafted Features vs. Deep Features. – Multimedia Tools and Applications, Vol. 79, 2020, No 35, pp. 26605-26622. Search in Google Scholar

5 Zhu, H., et al. Ordinal Distribution Regression for Gait-Based Age Estimation. – Science China Information Sciences, Vol. 63, 2020, No 2, pp. 1-14. Search in Google Scholar

6 Xia, M., et al. Multi-Stage Feature Constraints Learning for Age Estimation. – IEEE Transactions on Information Forensics and Security, Vol. 15, 2020, pp. 2417-2428. Search in Google Scholar

7 Tiwari, R. K. Human Age Estimation Using Machine Learning Techniques. – International Journal of Electronics Engineering and Applications, Vol. 8, 2020, No 1, pp. 01-09. Search in Google Scholar

8 Fayyad, U., G. Shapiro, P. Smyth. From Data Mining to Knowledge Discovery in Databases. – AI Magazine, Vol. 17, 1996, No 3, pp. 37-54. Search in Google Scholar

9 Suo, J., T. Wu, S. Zhu, S. Shan, X. Chen, W. Gao. Design Sparse Features for Age Estimation Using Hierarchical Face Model. – In: Proc. of IEEE Conf. on FGR, 2008, pp. 1-6. Search in Google Scholar

10 Stone, A. The Aging Process of the Face & Techniques of Rejuvenation, 2012 (Accessed 10/4/2015). http://www.aaronstonemd.com/FacialAging Rejuvenation.htm Search in Google Scholar

11 Lanitis, A. A Survey of the Effects of Aging on Biometric Identity Verification. – International Journal of Biometrics (IJBM), Vol. 2, 2012, No 1, pp. 34-52. Search in Google Scholar

12 Ranjan, J., D. Datta, R. Saha. Age Estimation from Face Image Using Wrinkle Features. – In: Proc. of International Conference on Information and Communication Technologies (ICICT’14), 3-5 December 2014, Bolgatty Palace & Island Resort, Kochi, India. Search in Google Scholar

13 Geng, X., Z. H. Zhou, Y. Zhang, G. Li, H. Dai. Learning from Facial Aging Patterns for Automatic Age Estimation. – In: Proc. of ACM International Conference on Multimedia, New York, NY, USA, 2014, pp. 307-316. Search in Google Scholar

14 Grd, P., M. Bača. Creating a Face Database for Age Estimation and Classification. – In: Proc. of 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO’16), IEEE, 2016. Search in Google Scholar

15 Rothe, R., R. Timofte, L. V. Gool. DEX: Deep Expectation of Apparent Age from a Single Image. – In: Proc. of IEEE International Conference on Computer Vision Workshops, 2015. Search in Google Scholar

16 Fu, Y., G. Guo, T. S. Huang. Age Synthesis and Estimation via Faces: A Survey. – IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, 2010, No 11, pp. 1955-1976. Search in Google Scholar

17 Lim, S. Estimation of Gender and Age Using CNN-Based Face Recognition Algorithm. – International Journal of Advanced Smart Convergence, Vol. 9, 2020, No 2, pp. 203-211. Search in Google Scholar

18 Shejul, A. A., K. S. Kinage. Deep Appearance Model and Crow-Sine Cosine Algorithm-Based Deep Belief Network for Age Estimation. – International Journal of Ambient Computing and Intelligence (IJACI), Vol. 12, 2021, No 3, pp. 185-207. Search in Google Scholar

19 Guehairia, O., et al. Feature Fusion via Deep Random Forest for Facial Age Estimation. – Neural Networks, Vol. 130, 2020, pp. 238-252. Search in Google Scholar

20 Micheal, A. A., P. Geetha. A Novel Hybrid Feature Framework for Multi-View Age Estimation. – Applied Artificial Intelligence, Vol. 35, 2021, No 15, pp. 1361-1387. Search in Google Scholar

21 Angulu, R., J. R. Tapamo, A. O. Adewumi. Age Estimation via Face Images: A Survey. – EURASIP Journal on Image and Video Processing, Vol. 2018, 2018, No 1, pp. 1-35. Search in Google Scholar

22 Shejul, A. A., K. S. Kinage. Deep Appearance Model and Crow-Sine Cosine Algorithm-Based Deep Belief Network for Age Estimation. – International Journal of Ambient Computing and Intelligence (IJACI), Vol. 12, 2021, No 3, pp. 185-207. Search in Google Scholar

23 Khajavi, M., A. Ahmadyfard. Human Face Aging Based on Active Appearance Model Using Proper Feature Set. – Signal, Image and Video Processing, 2022, pp. 1-9. Search in Google Scholar

24 Shejul, A. A., K. S. Kinage, B. E. Reddy. Facial Based Human Age Estimation Using Deep Belief Network. – In: Proc. of EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing, Cham, Springer, 2020. Search in Google Scholar

25 Wang, H., V. Sanchez, C.-T. Li. Improving Face-Based Age Estimation with Attention-Based Dynamic Patch Fusion. – IEEE Transactions on Image Processing, Vol. 31, 2022, pp. 1084-1096. Search in Google Scholar

26 Qian, W., et al. Label Distribution Feature Selection with Feature Weights Fusion and Local Label Correlations. – Knowledge-Based Systems, Vol. 256, 2022, 109778. Search in Google Scholar

27 Lu, D., et al. Age Estimation from Facial Images Based on Gabor Feature Fusion and the CIASO‐SA Algorithm. – CAAI Transactions on Intelligence Technology, 2022. Search in Google Scholar

28 Greco, A., et al. Effective Training of Convolutional Neural Networks for Age Estimation Based on Knowledge Distillation. – Neural Computing and Applications, 2021, pp. 1-16. Search in Google Scholar

29 Rwigema, J., J. Mfitumukiza, K. Tae-Yong. A Hybrid Approach of Neural Networks for Age and Gender Classification through Decision Fusion. – Biomedical Signal Processing and Control, Vol. 66, 2021, 102459. Search in Google Scholar

30 Al-Dujaili, M. J., A. Ebrahimi-Moghadam. Speech Emotion Recognition: A Comprehensive Survey. – Wireless Personal Communications, 2023, pp. 1-37. Search in Google Scholar

31 Madhavi, A., et al. Human Age Estimation Using Support Vector Machine. – In: Machine Learning Technologies and Applications, Singapore, Springer, 2021. pp. 273-286. Search in Google Scholar

32 Micheal, A. A., P. Geetha. A Novel Hybrid Feature Framework for Multi-View Age Estimation. – Applied Artificial Intelligence, Vol. 35, 2021, No 15, pp. 1361-1387. Search in Google Scholar

33 Al-Dujaili, M. J., M. T. Mezeel. Novel Approach for Reinforcement the Extraction of ECG Signal for Twin Fetuses Based on Modified BSS. – Wireless Personal Communications, Vol. 119, 2021, No 3, pp. 2431-2450. Search in Google Scholar

34 Al_Dujaili, M. J., H. T. H. S. ALRikabi, I. R. N. ALRubeei. Gender Recognition of Human from Face Images Using Multi-Class Support Vector Machine (SVM) Classifiers. – International Journal of Interactive Mobile Technologies, Vol. 17, 2023, No 8. Search in Google Scholar

35 Lee, J.-S., et al. Age Estimation Using Correlation-Refined Features of Convolutional Neural Network. – Journal of Information Science & Engineering, Vol. 37, 2021, No 6. Search in Google Scholar

36 Al Dujaili, M. J., A. Ebrahimi-Moghadam, A. Fatlawi. Speech Emotion Recognition Based on SVM and KNN Classifications Fusion. – International Journal of Electrical and Computer Engineering, Vol. 11, 2021, No 2, 1259. Search in Google Scholar