MACHINE LEARNING AND ITS CAPABILITIES: EXAMPLE OF AUTOMATED ATTENDANCE MANAGEMENT SYSTEM USING FACIAL RECOGNITION.

Nikhilesh Sai Kasturi, Sneha Manchukonda

Abstract


 Machine learning is a field of application in computer science that helps the computers perform tasks by learning the environment, input and output parameters without being explicitly programmed for the task. It is the study and application of algorithms that can learn from observations and make accurate predictions on given datasets – such algorithms can work without having to follow the static, user driven program instructions by making data-driven predictions or self-learning decisions.

Face recognition is a biometric method of identifying an individual by comparing live capture or with the digital data of the person stored in the system. It is considered as an application of machine learning. The role of face recognition is growing rapidly to cater to Human-Computer Interaction (HCI) [15] in various domains. The face recognition problem is addressed in a geometric way, which looks at important and distinguishing features, or photometric way, which is a statistical approach that converts an image into values and compares the values with templates to eliminate outliers.

 

 


Keywords


Machine Learning, Facial recognition, Matching, Attendance system, Verification, Automated attendance system.

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DOI: https://doi.org/10.26483/ijarcs.v9i3.6114

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