A novel approach for classifying faces of the upper and lower Himalayan region using CNN- implications in forensic identification
Authors:
- Ankita GuleriaAGAnkita Guleria
- Kewal KrishanKKKewal Krishan
- Damini SiwanDSDamini Siwan
- Ritika DhaneshwarRDRitika Dhaneshwar
- Peehul KrishanPKPeehul Krishan
- Rakesh MeenaRMRakesh Meena
- Nandini ChitaraNCNandini Chitara
- Akansha RanaARAkansha Rana
- Ayushi SrivastavaASAyushi Srivastava
- Tej KaurTKTej Kaur
- Vishal SharmaVSVishal Sharma
- 23 September 2026
- journal article
- Published by Elsevier in Journal of Forensic and Legal Medicine
- Vol. 123
Abstract
No abstract availableFunding Information
- Department of Science and Technology, Ministry of Science and Technology, India (IF190719)
This publication has 12 references indexed in Scilit:
- Classification of Ethnicity Using Efficient CNN Models on MORPH and FERET Datasets Based on Face BiometricsApplied Sciences, 2023
- Deep hybrid learning for facial expression binary classifications and predictionsImage and Vision Computing, 2022
- Intelligent deep learning based ethnicity recognition and classification using facial imagesImage and Vision Computing, 2022
- Masked face recognition with convolutional neural networks and local binary patternsApplied Intelligence, 2021
- Respiratory adaptation to climate in modern humans and Upper Palaeolithic individuals from Sungir and MladečScientific Reports, 2021
- Cross-resolution face identification using deep-convolutional neural networkMultimedia Tools and Applications, 2021
- Automatic classification of human facial features based on their appearancePLOS ONE, 2019
- Feature extraction for face recognition via Active Shape Model (ASM) and Active Appearance Model (AAM)IOP Conference Series: Materials Science and Engineering, 2018
- Deep Learning on Binary Patterns for Face RecognitionProcedia Computer Science, 2018
- Automated border control e-gates and facial recognition systemsComputers & Security, 2016