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

"Building Helplines For Missing Children", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 7, page no.e339-e343, July-2024, Available :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: 000121271

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

About Publisher

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

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

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

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

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

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area