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Erschienen in:
Security of Multimedia Contents: A Brief Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Attendance Recording System Using Partial Face Recognition Algorithm

verfasst von : Borra Surekha, Kanchan Jayant Nazare, S. Viswanadha Raju, Nilanjan Dey

Erschienen in: Intelligent Techniques in Signal Processing for Multimedia Security

Verlag: Springer International Publishing

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Abstract

In today’s world, recording the attendance of a student plays an important role in improving the quality of educational system. The manual labor included in the maintenance and management of the traditional attendance sheets is tedious as it costs quite a time for the lecturer. Thus, there is a requirement for robust computerized biometric-based attendance recording system (ARS). Face recognition-based methods are a potential replacement for conventional systems, in case if the students to be addressed are more. This chapter gives an overview of the existing attendance recording systems, their vulnerabilities, and recommendations for future development. A smart attendance capturing and management system based on Viola–Jones algorithm and partial face recognition algorithms is introduced for two environments: controlled and uncontrolled. While the proposed system proved 100 % accurate under controlled environment, the efficiency under uncontrolled environment is quite low (60 %). It is observed that the face recognition rate varies from frame to frame. Further, the performance of the proposed attendance system completely depends upon the database collected, the resolution of the camera used and the capacity of students. Further work can be carried out to make the system more efficient in the real-time scenario.

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Vorheriges Kapitel Improved Approach for 3D Face Characterization
Nächstes Kapitel Automatic Human Emotion Recognition in Surveillance Video
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Metadaten
Titel
Attendance Recording System Using Partial Face Recognition Algorithm
verfasst von
Borra Surekha
Kanchan Jayant Nazare
S. Viswanadha Raju
Nilanjan Dey
Copyright-Jahr
2017
Buch
Intelligent Techniques in Signal Processing for Multimedia Security

Print ISBN: 978-3-319-44789-6

Electronic ISBN: 978-3-319-44790-2

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-44790-2_14