AN INTELLIGENT AUTOMATIC ATTENDANCE SYSTEM (IAAS) USING FACE RECOGNITION

Abstract

In the present-day educational system, regular class attendance of students plays an important
role in quality monitoring and performance assessment. The traditional method practiced in most
organizations, taking attendance bypassing the attendance sheet, calling out names is both timeconsuming and open to simple fraud. There are so many techniques for recognizing a person like
biometric, IRIS, voice, etc. The main objective of this paper is to design and build a reliable, costeffective Intelligent Automatic Attendance System (IAAS). Various face-recognizing techniques
such as Eigenfaces, Fisherfaces, and Local Binary Pattern Histogram (LBPH) provided by the
OpenCV 2.4.8 are studied and compared. IAAS marks attendance for the authorized person by
recognizing the person’s face and automatically posts the attendance without involving any
individuals. The primary advantage of this IAAS is to automate the process of posting the
attendance, avoid human intervention in posting the attendance and to avoid fake attendance and
proxies