International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 05 | May -2017
p-ISSN: 2395-0072
www.irjet.net
Attendance Monitoring System using Face Recognition Mangesh Owandkar1, Akash Kolte2, Devendra Peshave3 , Mrs Savita Jadhav4 1, 2, 3, 4 Department Of Electronics and Telecommunication Engineering, Dr. D. Y. Patil Institute of Technology, Pimpri , Pune. ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract - Authentication is a significant issue in system control in computer based communication. Human face recognition is an important branch of biometric verification and has been widely used in many applications, such as video monitor system, human-computer interaction, and door control system and network security. This paper describes a method for Student’s Attendance System which will integrate with the face recognition technology using Personal Component Analysis (PCA) algorithm. The attendance will be marked based on facial recognition of the person. A group image of the class will be captured and detected faces are segmented from the captured image. The segmented faces are then compared with a predefined database of all the students of the class. A message will be sent to absentees through SMS using a GSM module. The system will record the attendance of the students in class room environment automatically and it will provide the facilities to the faculty to access the information of the students easily by maintaining a log for clock-in and clock-out time.
Behavioral biometrics (based on measurements and data derived from an action) include: a. Voice-scan, b. Signature-scan and c. Keystroke-scan.
The face is an important part of who you are and how people identify you. For face recognition there are two types of comparisons. The first is verification and the second is identification.
In 1960s, the first semi-automated system for facial recognition to locate the features (such as eyes, ears, nose and mouth) on the photographs[2]. In 1970s, Goldstein and Harmon used 21 specific subjective markers such as hair color and lip thickness to automate the recognition. In 1988, Kirby and Sirovich used standard linear algebra technique, to the face recognition. All identification or authentication technologies operate using the following four stages: Capture: A physical sample is captured by the system during enrollment and also in Identification or Verification process. Extraction: unique data is extracted from the sample and a template is created. Comparison: the template is then compared with a new sample. Match/Non match: the system decides if the features extracted from the new sample. The proposed method demonstrates how face recognition can be used for a successful attendance system to automatically record the presence of an enrolled individual within the respective venue. This system also maintains a log file to keep records of the entry of every individual with respect to a universal system time. A face recognition system is a computer application capable of identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a face database.
Key Words: PCA Algorithm, face reorganisation, automatic attendance, authentication. 1. INTRODUCTION Attendance is a vital aspect of administration which can often become a time consuming, repetitive job, lending itself to inaccuracies. Proposed method removes the need for manual paper registration and handwritten documentation, thus decreasing the administrative burden on faculties and allowing resources to be better spent elsewhere, ultimately leading to a more effective and productive operation. Proven to reduce absence, a student self-enrolment solution helps to monitor and improve student attendance. Absences are quickly identified resulting in appropriate action being taken swiftly and in the best interest of the student and the staff. A biometric is a unique, measurable characteristic of a human being that can be used to automatically recognize an individual or verify an individual identity. Biometrics can measure both physiological and behavioral characteristics. Physiological biometrics (based on measurements and data derived from direct the human body) include: a. Finger-scan, b. Facial Recognition, c. Iris-scan, d. Retina-scan and e. Hand-scan.
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Verification is where the system compares the given individual with who that individual says they are and gives a yes or no decision.. Identification is where the system compares the given individual to all the Other individuals in the database and gives a ranked list of matches.
This paper presents the design, implementation and experimental demonstrations of the attendance monitoring system. The contents are organized as follows. Section 2
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