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Smart Attendance with Real Time Face Recognition

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Inventive Systems and Control

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 436))

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Abstract

Face Recognition (FR) is a biometric technique that involves determining whether the image of a given person’s face matches any of the face images stored in a database. As a key attributes of biometric ratification, FR is widely utilized in different types of administration systems for video surveillance, computer human interface, indoor access systems, & network security. The proposed scheme is designed for student detection and recognition for tracking student attendance. As a result, Smart Attendance with Real Time Face Recognition (SARTFR) is a practical solution for day to day employee management activities. SARTFR is proposed based on Viola Jones Algorithm and LBP methods. SARTFR has got better results in terms of detection, recognition and tracking from the results.

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Author information

Authors and Affiliations

  1. Aditya Engineering College, Surampalem, India

    G. Aparna & S. Prasanth Vaidya

Authors
  1. G. Aparna
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  2. S. Prasanth Vaidya
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Corresponding author

Correspondence to S. Prasanth Vaidya .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Design, Dayananda Sagar College of Engineering, Bengaluru, India

    V. Suma

  2. School of Information Technology, Deakin University, Geelong, VIC, Australia

    Zubair Baig

  3. Department of Mathematics and Computer Science, Ashland University, Wilmington, NC, USA

    Selvanayaki Kolandapalayam Shanmugam

  4. University of Haute Alsace, Alsace, France

    Pascal Lorenz

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Aparna, G., Prasanth Vaidya, S. (2022). Smart Attendance with Real Time Face Recognition. In: Suma, V., Baig, Z., Kolandapalayam Shanmugam, S., Lorenz, P. (eds) Inventive Systems and Control. Lecture Notes in Networks and Systems, vol 436. Springer, Singapore. https://doi.org/10.1007/978-981-19-1012-8_59

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