MISSING CHILD IDENTIFICATION USING DEEP LEARNING AND MULTICLASS SVM-ACCESS

Authors

  • Mrs.B.Prathibha,D.Sreelatha, G.Jahnavi, N.Bhavana, D.Sai priya

Keywords:

Multi-Keyword hierarchic Search; Vector Machine ,Tree-Based Index; Sub-Linear Search; Encrypted Cloud Data; Documents; Result Ranking;

Abstract

In India, a critical number of kids disappear every year, with many cases staying unsettled. This paper presents an inventive profound learning way to deal with recognize missing youngsters utilizing face acknowledgment innovation. The proposed framework permits people in general to transfer photographs of kids they suspect may miss, alongside milestones and comments. These transferred pictures are then naturally contrasted with a data set of enrolled missing youngster photographs.

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References

Y. LeCun, Y. Bengio, and G. Hinton, "Deep learning", Nature, 521(7553):436444, 2015.

O. Deniz, G. Bueno, J. Salido, and F. D. la Torre, "Face recognition using histograms of oriented gradients", Pattern Recognition Letters, 32(12):1598–1603, 2011.

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Published

2023-12-24

How to Cite

Mrs.B.Prathibha,D.Sreelatha, G.Jahnavi, N.Bhavana, D.Sai priya. (2023). MISSING CHILD IDENTIFICATION USING DEEP LEARNING AND MULTICLASS SVM-ACCESS . Pegem Journal of Education and Instruction, 15(4), 592–597. Retrieved from https://pegegog.net/index.php/pegegog/article/view/4024

Issue

Vol. 15 No. 4 (2025): CURRENT ISSUE

Section

Article

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