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DEVELOPMENT OF BIOMETRIC FACIAL RECOGNITION SYSTEM

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  • Reference Style: APA
  • Recommended for : Student Researchers
  • NGN 4000

ABSTRACT

This study demonstrates the development of a biometric facial recognition system that is intended to optimise user authentication processes and improve security. Due to its high accuracy and non-invasive nature, face recognition has become a popular option for the growing need for accurate and efficient identification verification across a range of industries. To authenticate users, this system uses a structured pipeline that starts with image acquisition, moves on to face detection, feature extraction, and finally matches and classifies facial data. The system seeks to strike a balance between computing efficiency and performance by utilising machine learning techniques that are optimised for speed and accuracy. In order to improve the system's resilience in practical applications, data was gathered and preprocessed to overcome frequent facial recognition issues, such as changes in lighting, posture, and expressions. To determine the system's accuracy, response time, and error rate, a thorough testing and assessment phase was carried out. The system's possible usage in settings that need secure access, like banking, healthcare, and government buildings, is confirmed by the results, which show a high degree of accuracy in user identification. The integration of an improved facial recognition algorithm and insights into resolving technological issues in biometric systems are examples of contributions to knowledge. Future research is advised to investigate more complex deep learning models and extend the system's capabilities to support more biometric modalities. This study advances facial recognition technology and emphasises the importance of biometric systems in contemporary security frameworks.

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