International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
EFFECTIVE ATTENDANCE MARKINGUSING FACE RECOGNITION & RFID TAGS R.Kavitha1, Shankar vijayalakshmi 2, S.UmaMaheswari 3 Mrs.jerrinsimla.A 4 Assistant Professor, Dept. of computer science Engineering, Panimalar Institute of technology, chennai-600 123 ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Attendance System is pretty Old Technology to call
multinational enterprise. The purpose of this system is used
the names of the Students Manually. It takes more time to call
to inspect who has the permission to enter the factory for
each student one by one. Also they might miss out calling some
work. All the operations will be recorded with time. HR
students name. It will not be effective. Due to this student can
manager could check the records from the database.
get less attendance percentage in their report card. so our aim
Experimental results show that the proposed access control
is to make Attendance automatic. Instead of calling out the
system has strong ability to reject the person presents
names, rather using RFID system to monitor the student
others'
attendance. To overcome this problem we propose a Effective
RFID card. First, employees are required to present his/her
attendance marking using RFID. RFID tag is verified then
RFID card. Only the person presents a registered RFID card
Camera is initialed. Face Recognition and Matching can be
will undergo the face recognition. In face recognition, a face
verified and is processed using Mat lab. Attendance system is
detection technology is applied to extract faces. The
made automatic. After verifying if it matches then it mark as
normalization process is used to adjust the size and intensity
present such that it will be verifying for all the students .After
of the extracted faces. The SURF algorithm is then performed
the Time limit it will put absent for student those not come to
to align the extracted and registered faces. Finally, the CW-
college and messages will be sent to their parents. As a result,
SSIM is adopted to calculate the similarity of the extracted
the proposed system achieves the more effective for marking
and registered faces.
attendance. 2. Face detection Key Words: RFID tags, face recognition
Robust Real-Time Face Detection is a powerful face detection technology with high accuracy. The algorithm
1.INTRODUCTION Face recognition is a well developed technology; it had been applied to person authentication. Challenges in face recognition include illumination, pose, facial expression, aging, hair and glasses. Radio-frequency identification (RFID) tags contain electronically stored information has widely used for access control system. However, traditional RFID-based access control system identifies people only by RFID card. Anyone presents a registered RFID card will pass the authentication even he/she is not the card holder. To avoid this problem, face recognition was involved in the RFID-based access control system. The proposed access control system is implemented and performed in a Š 2017, IRJET
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Impact Factor value: 5.181
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consists of three major methods includes integral image, AdaBoost, and cascade detection. In this paper, the Robust Real-Time Face Detection is used to detect faces. B. Face Extraction- Since the background and hair significantly affect recognition, background and hairstyle of detected faces are removed. Only the "inner face" is used to identify the card holder in the proposed method. 2 .1 Registration In this module we are going to create an User application by which the User is allowed to access the data from the Server of the Cloud Service Provider. Here first the User want to ISO 9001:2008 Certified Journal
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