Garuda - Garba Rujukan Digital

Nur Anisah Hassan

Universti Teknologi MARA

Author-ID : 2468101

Computer Science & IT Electrical & Electronics Engineering Engineering

Published : 3 Documents Claim Missing Document

Claim Missing Document

Articles

Face recognition attendance system using Local Binary Pattern (LBP) Shamsul J. Elias; Shahirah Mohamed Hatim; Nur Anisah Hassan; Lily Marlia Abd Latif; R. Badlishah Ahmad; Mohamad Yusof Darus; Ahmad Zambri Shahuddin
Bulletin of Electrical Engineering and Informatics Vol 8, No 1: March 2019
Publisher : Institute of Advanced Engineering and Science

Attendance is important for university students. However, generic way of taking attendance in universities may include various problems. Hence, a face recognition system for attendance taking is one way to combat the problem. This paper will present an automated system that will automatically saves student’s attendance into the database using face recognition method. The paper will elaborate on student attendance system, image processing, face detection and face recognition. The face detection part will be done by using viola-jones algorithm method while the face recognition part will be carried on by using local binary pattern (LBP) method. The system will ensure that the attendance taking process will be faster and more accurate.

Face recognition attendance system using Local Binary Pattern (LBP) Shamsul J. Elias; Shahirah Mohamed Hatim; Nur Anisah Hassan; Lily Marlia Abd Latif; R. Badlishah Ahmad; Mohamad Yusof Darus; Ahmad Zambri Shahuddin
Bulletin of Electrical Engineering and Informatics Vol 8, No 1: March 2019
Publisher : Institute of Advanced Engineering and Science

Attendance is important for university students. However, generic way of taking attendance in universities may include various problems. Hence, a face recognition system for attendance taking is one way to combat the problem. This paper will present an automated system that will automatically saves student’s attendance into the database using face recognition method. The paper will elaborate on student attendance system, image processing, face detection and face recognition. The face detection part will be done by using viola-jones algorithm method while the face recognition part will be carried on by using local binary pattern (LBP) method. The system will ensure that the attendance taking process will be faster and more accurate.

Face recognition attendance system using Local Binary Pattern (LBP) Shamsul J. Elias; Shahirah Mohamed Hatim; Nur Anisah Hassan; Lily Marlia Abd Latif; R. Badlishah Ahmad; Mohamad Yusof Darus; Ahmad Zambri Shahuddin
Bulletin of Electrical Engineering and Informatics Vol 8, No 1: March 2019
Publisher : Institute of Advanced Engineering and Science

Attendance is important for university students. However, generic way of taking attendance in universities may include various problems. Hence, a face recognition system for attendance taking is one way to combat the problem. This paper will present an automated system that will automatically saves student’s attendance into the database using face recognition method. The paper will elaborate on student attendance system, image processing, face detection and face recognition. The face detection part will be done by using viola-jones algorithm method while the face recognition part will be carried on by using local binary pattern (LBP) method. The system will ensure that the attendance taking process will be faster and more accurate.

Title

Found 3 Documents
Search

Abstract

Abstract

Abstract

Title Search

Found 3 Documents Search

Abstract

Abstract

Abstract

Title

Found 3 Documents
Search