Paper Title

Building Helplines For Missing Children

Article Identifiers

Registration ID: IJNRD_225626

Published ID: IJNRD2407400

DOI: Click Here to Get

Authors

Prisha A K , Vidyalakshmi J , Lavanya Lakshmi Shree K S , Hemavarshini S , Lekha P

Keywords

CNN , SVM, Face recognition, Deep learning

Abstract

The epitome of our paper tells the new use of deep literacy methodology which is employed for relating the reported missing children from the images of multiple youths available, with the backing of face recognition. Substantially lacking toddler cases are mentioned to the police. The toddler lacking from one area can be discovered in any other area or any other state, for multitudinous motives. So indeed supposing a toddler is discovered, it's long hauls tough to pick out him her from the mentioned lacking cases. A frame and fashion for tracing lacking toddler is defined on this paper. Also facial look of toddler can range because of adaptations in disguise, exposure, illumination, occlusions, noise etc. The print graph taken through public will not be of proper quality, as a number of them can be captured from a distance without the knowlegde of the sprat. A deep literacy structure allowing about a maturity of these constrain is designed then. The proposed fashion is fairly an easy, less precious and reliable approach.

How To Cite (APA)

Prisha A K, Vidyalakshmi J, Lavanya Lakshmi Shree K S, Hemavarshini S, & Lekha P (July-2024). Building Helplines For Missing Children. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(7), e339-e343. https://ijnrd.org/papers/IJNRD2407400.pdf

Issue

Volume 9 Issue 7, July-2024

Pages : e339-e343

Other Publication Details

Paper Reg. ID: IJNRD_225626

Published Paper Id: IJNRD2407400

Downloads: 000121980

Research Area: Computer Science & Technology 

Country: Chennai, TamilNadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2407400.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2407400

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

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