Missing Child Identification System using Deep Learning with VGG-FACE Recognition Technique

International Journal of Computer Science and Engineering

© 2022 by SSRG - IJCSE Journal

Volume 9 Issue 9

Year of Publication : 2022

Authors : D. J. Samatha Naidu, R. Lokesh

10.14445/23488387/IJCSE-V9I9P101

How to Cite?

D. J. Samatha Naidu, R. Lokesh, "Missing Child Identification System using Deep Learning with VGG-FACE Recognition Technique," SSRG International Journal of Computer Science and Engineering , vol. 9,  no. 9, pp. 1-11, 2022. Crossref, https://doi.org/10.14445/23488387/IJCSE-V9I9P101

Abstract:

In India, countless children are reported missing every year. Among the missing child cases, a large percentage of children remain untraced. The enhancement of missing child identification is the adoption of the child from the remaining children database after a period (like using a pattern matching algorithm or the other) Child welfare Centre is responsible for checking the parent's authenticity. In Adoption customers, after logging in to the parents, registered parents have to fill in the same child details that were filled in the registration form of the parents.

Keywords:

Missing child, Adoption, Deep learning model, Upload photographs, Pattern matching algorithm.

References:

[1] “Pulmonary Breath Sounds,” East Tennessee State University, 2002.
[2] J. J, Ward, “ R.A.L.E. Lung Sounds Demo Med,” RRT In Respiratory Care, Canada, 2005.
[3] Think Labs Digital Stethoscope Lung Library.
[4] 3M Littmann Stethoscope Lung Sound Library.
[5] Tiago H. Falk, Wai-Yip Chan, Ervin Sejdic´ and Tom Chau, “Spectro-Temporal Analysis of Auscultatory Sounds,” New Developments in Biomedical Engineering, Intech, 2010.
[6] Gadge PB and Rode SV, “Automatic Wheeze Detection System as Symptoms of Asthma using Spectral Power Analysis,” Journal of Bioengineering & Biomedical Science, 2016.
[7] Bor-Shing Lin, Huey-Dong Wu and Sao-Jie Chen, “Automatic Wheezing Detection Based on Signal Processing of Spectrogram and Back - Propagation Neural Network,” Journal of Healthcare Engineering, vol. 6, no. 4, pp. 649- 672, 2015.
[8] Y. Lecun, Y. Bengio, and G. Hinton, "Deep Learning," Nature, vol. 521, no. 7553, pp. 436–444, 2015.
[9] O. Deniz, G. Bueno, J. Salido, and F. D. La Torre, "Face Recognition Using Histograms of Oriented Gradients," Pattern Recognition Letters, vol. 32, no. 12, pp. 1598–1603, 2011.
[10] Chandan A D, Chiranth Gowda A B, Sanju M G, Umme Javeriya R, Shilpa R, "Survey Paper on Vehicle Security using Facial Recognition & Password," SSRG International Journal of Electronics and Communication Engineering, vol. 9, no. 6, pp. 5-9, 2022. Crossref, https://doi.org/10.14445/23488549/IJECE-V9I6P102
[11] C. Geng and X. Jiang, "Face Recognition Using Sift Features," IEEE International Conference on Image Processing(ICIP), 2009.
[12] Rohit Satle, Vishnuprasad Poojary, John Abraham, Shilpa Wakode, "Missing Child Identification using Face Recognition System," International Journal of Advanced Engineering and Innovative Technology (IJAEIT), vol. 3, no. 1, 2016.
[13] Joyassree Sen, Bappa Sarkar, Mst. Ashrafunnahar Hena, Md. Hafizur Rahman, "Face Recognition Using Deep Convolutional Network and One-Shot Learning," SSRG International Journal of Computer Science and Engineering, vol. 7, no. 4, pp. 23-29, 2020. Crossref, https://doi.org/10.14445/23488387/IJCSE-V7I4P107
[14] Simonyan, Karen and Andrew Zisserman, "Very Deep Convolutional Networks for Large-Scale Image Recognition," International Conference on Learning Representations (ICLR), 2015.
[15] O. M. Parkhi, A. Vedaldi, and A. Zisserman, "Deep Face Recognition," In British Machine Vision Conference, vol. 1, no. 3, pp. 1-12, 2015.
[16] A. Vedaldi, and K. Lenc, "Matconvnet: Convolutional Neural Networks for MATLAB," ACM International Conference on Multimedia, Brisbane, 2015.
[17] P. Kshirsagar, S. Akojwar, Nidhi D. Bajaj, “Ahybridised Neural Network and Optimization Algorithms for Prediction and Classification of Neurological Disorders,” International Journal of Biomedical Engineering and Technology, vol. 28, no. 4, 2018. 
[18] R Sindhoori, "Digital Image Processing. Multi-Feature Face Recognition In PSO -SVM," SSRG International Journal of Electrical and Electronics Engineering, vol. 1, no. 3, pp. 1-6, 2014. Crossref, https://doi.org/10.14445/23488379/IJEEE-V1I3P101
[19] P. Kshirsagar and S. Akojwar, "Novel Approach for Classification and Prediction of Non-Linear Chaotic Databases," 2016 International Conferenceonelectrical, Electronics, and Optimization Techniques(ICEEOT), pp. 514-518, 2016. Doi: 10.1109/ICEEOT.2016.7755667
[20] Kshirsagar, P.R., Akojwar, S.G., Dhanoriya, R, “ Classification of ECG-Signals Using Artificial Neural Networks,” In Proceedings of International Conference on Intelligent Technologies and Engineering Systems, Lecture Notes in Electrical Engineering, Springer, Cham, vol. 345, 2014.
[21] P. Kshirsagar and S. Akojwar, “Optimizationof BPNN Parameters Using PSO for Eegsignals,” Advances in Intelligent Systems research, ICCASP/ICMMD-2016, vol. 137, pp. 385-394, 2016.
[22] Pooja G Nair, Sneha R, "A Review: Facial Recognition Using Machine Learning," International Journal of Recent Engineering Science, vol. 7, no. 3, pp. 85-89, 2020. Crossref, https://doi.org/10.14445/23497157/IJRES-V7I3P115
[23] Pravin Kshirsagar, Nagaraj Balakrishnan &Arpit Yadav, “Modelling of Optimised Neural Network for Classification and Prediction of Benchmark Datasets,” Computer Methods in Biomechanics and Biomedical Engineering: Imaging &Visualization, vol. 8, no. 4, pp. 426- 435, 2020. DOI: 10.1080/21681163.2019.1711457
[24] Opeyemi Oyelesi and Akingbade Kayode Francis, "Face Recognition for Access Control Using PCA Algorithm," SSRG International Journal of VLSI & Signal Processing, vol. 4, no. 2, pp. 22-27, 2017. Crossref, https://doi.org/10.14445/23942584/IJVSPV4I3P105
[25] Prasadu Peddi, “Data Sharing Privacy in Mobile Cloud Using AES,” International Journal of Scientific Research in Computer Science Applications and Management Studies, ISSN 2319-1953, vol. 7, no. 4, 2018.
[26] RR Atallah, A Kamsin, “Face Recognition and Age Estimation Counteraccusations of Changes in Facial Features a Critical Review Study,” IEEE, Ieeexplore.Ieee.Org.
[27] S. Balaji, R Saravanan, P Pavadharani, “ A Check on Facial Recognition Ways and Quested Algorithms,” Journal Inter Discipcycle, 2020. 2020-Jicrjournal.Com
[28] G. Niveditha, “Deep Literacy and Multi-Class SVM for Missing Child Identification System,” International Journal For Advanced Researchs In Science & Technology, 2021.