Paper Title
LOST PERSON IDENTIFICATION SYSTEM USING DEEP LEARNING
Article Identifiers
Authors
N.Anithaa , P.Sainath Reddy , R.Sai Kumar , P.Kiran Kumar , P.Sairam
Keywords
Face recognition; Image processing ; Numpy; SVM ; CNN features ; Search photos ; Matplotlib Introduction Top of Form
Abstract
This paper tells a pair of novel use of deep learning methodology which is employed for identifying the reported missing children from the images of multiple youngsters available, with the assistance of face recognition. the ultimate public can upload their images of suspicious children into an everyday portal with landmarks and remarks. The photo are automatically compared with the registered photos of the missing child from the repository. Cataloging of the input child photo is performed and photo with best match are designated from the database of missing children. For this, a deep learning model is trained to properly identify the missing child from the missing child image database provided, using the facial image uploaded by the final word public. The Convolutional Neural Network (CNN), is incredibly effective deep learning technique for image based applications is adopted here for face recognition. Face descriptors are extracted from the images employing a pre-trained CNN model VGG-Face deep architecture. Compared with normal deep learning applications, our algorithm uses convolution network only as a high level feature extractor and thus the kid recognition is completed by the trained SVM classifier. Choosing the foremost effective performing CNN model for face recognition, VGG-Face and proper training of it finally ends up during a very deep learning model invariant to noise, contrast, image pose and also the age of the children and earlier methods in face recognition based missing child identification.
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How To Cite (APA)
N.Anithaa, P.Sainath Reddy, R.Sai Kumar, P.Kiran Kumar, & P.Sairam (April-2024). LOST PERSON IDENTIFICATION SYSTEM USING DEEP LEARNING . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), c219-c228. https://ijnrd.org/papers/IJNRD2404252.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : c219-c228
Other Publication Details
Paper Reg. ID: IJNRD_217880
Published Paper Id: IJNRD2404252
Downloads: 000121984
Research Area: Computer Science & TechnologyÂ
Country: Chennai, Tamilnadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404252.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404252
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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