Face Recognition Using Machine Learning"

Registration ID: IJNRD_190953

Published ID: IJNRD2304237

DOI: Click Here to Get

Ritika Bhardwaj , Gautam Gupta , Tushar Shokeen , Sachin chauhan

Convoluted Neural Networks, Facial Recognition, Machine Learning, Support Vector Machine. OpenCV

Facial recognition, a technique that utilizes various features of the face to verify and identify individuals, is becoming more popular in various industrial applications including security, surveillance, and access control. Due to machine learning's capability to learn complicated patterns from enormous datasets, it's an effective approach for facial recognition. The utilization of machine learning for face recognition is a methodology comprising three distinct stages: face detection, feature extraction, and classification. The first phase involves an algorithm that recognizes the facial features in a given image or video source. Following this, the feature extraction process identifies key geometric and textural characteristics from the detected face. Lastly, the extracted data is run through a classification algorithm to determine its corresponding class - usually ascertaining identity information. To address the challenge of recognizing faces accurately convolutional neural networks (CNNs), support vector machines, and random forests are some examples of machine learning algorithms that have been identified. CNNs are especially promising as they can identify hierarchical representations within images thereby providing better accuracy. With that said even though these modeling techniques show promise they still struggle with problems posed by uncontrolled lighting conditions, pose variations and occlusions. Moreover like any facial recognition technology needs to meet strict ethical standards because it also brings up privacy concerns. From healthcare to security and entertainment industries, facial recognition powered by machine learning is revolutionizing how we see automation. As datasets grow larger and more sophisticated algorithms emerge, we can expect

Published Paper   E-Certificate

Ritika Bhardwaj, Gautam Gupta, Tushar Shokeen, & Sachin chauhan (April-2023). Face Recognition Using Machine Learning". INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), c293-c296. https://ijnrd.org/papers/IJNRD2304237.pdf

Volume 8 Issue 4, April-2023

Pages : c293-c296

Paper Reg. ID: IJNRD_190953

Published Paper Id: IJNRD2304237

Downloads: 000121979

Research Area: Computer Science & Technology 

Country: Delhi, Delhi, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304237.pdf

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

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