SMART TECHNOLOGY FOR IDENTICAL TWIN RECOGNITION IN CRIME SOLVING USING MACHINE LEARNING

A.PAVANI; J.SAIROHITH; M.SUSHANK; G.SAINATH REDDY; K.PHANINDAR

SMART TECHNOLOGY FOR IDENTICAL TWIN RECOGNITION IN CRIME SOLVING USING MACHINE LEARNING

Authors: A.PAVANI, J.SAIROHITH, M.SUSHANK, G.SAINATH REDDY, K.PHANINDAR

Unique Paper ID: 177514
Volume: 11
Issue: 12
PageNo: 842-846

Keywords: Data Collection & preprocessing Feature Extraction Model Training and recognition Crime scene matching and identification.

Abstract:
This Project explores the application of machine learning techniques to digitally recognize identical twins, addressing a critical gap in biometric identification systems for crime investigation. Leveraging a "bag of features" approach,the study employs face detection,image processing techniques, feature extraction, and supervised machine learning (K-nearest neighbors’ classifier) to differentiate between identical twins. This work presents a significant step forward in biometric recognition technology to aid global security challenges. This project dives into using the power of machine learning to solve this very problem. Think of it like teaching a computer to spot the almost invisible differences between twins. We're using a clever approach called the 'bag of features,' which involves first finding the faces in images, then carefully analyzing them using image processing techniques. Next, we extract unique characteristics – the 'features' – that might subtly distinguish one twin from the other.To actually tell them apart, we're using a smart algorithm called the K-nearest neighbors’ classifier. This is a type of supervised machine learning, meaning we 'train' the computer with examples of twin pairs so it can learn to identify who's who.Ultimately, this research aims to significantly improve how we identify individuals, even in the challenging case of identical twins. This could be a game-changer for global security efforts, helping to close a critical loophole in current biometric identification technologies."

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 842-846

SMART TECHNOLOGY FOR IDENTICAL TWIN RECOGNITION IN CRIME SOLVING USING MACHINE LEARNING

Available:https://ijirt.org/Article?manuscript=177514

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