Paper id 28201415

International Journal of Research in Advent Technology, Vol.2, No.8, August 2014 E-ISSN: 2321-9637

Student Attendance Recording System Using Face Recognition with GSM Based Mr.C.S.Patil, Mr.R.R.Karhe, Mr.M.D.Jain Department name: E&TC, E&TC, E&TC, Position: Head of department, Assistant Professor, Lecturer Email:Patilcs777@gmail.com,rajeshkarhe@yahoo.com,mitesh.jain56@gmail.com

Abstract- This paper describes the development of a student attendance system based on face recognition and authentication technology. MATLAB framework is used for implementation. The existing conventional attendance system requires students to manually sign the sheet every time. This includes the more time consumed by the students for their attendance, some students may purposely signed another student’s name and the sometimes sheet may get lost. For avoiding the sheet problem, we used radio frequency identification technology, RFID card capture the attendance by flashing their card and save all information about students but sometimes RFID card may get lost. For avoiding the problem in conventional system and RFID, we used face recognition using Web-Cam (i-ball) with GSM based. After having images from Web-Cam, the image is cropped into square shape. We also focus on the special characteristics of human facial aspects such as nose, eye, etc...The input image goes through the recognition system for facial identification. All the input images are in the form of pixels. In this recognition different control point are detected. Their co-ordinate values are in the form of matrix. In some cases where the input image from the Web-Cam does not exist in the database, the user will get some error. However, in cases where the image exists in the database, that image will be computed for similarity measurement using distance between control point measures from the input image. The result of our experiment shows that the authentication process of number of images in the database and some images from the Web-Cam provides 100% accuracy in terms of recognition and authentication.

Index Terms - LCD, Microcontroller ATmega16 A PU 1350, Web-Cam, PC, RS232, GSM etc…

1. INTRODUCTION Normally sheet is passed around the classroom while the lecturer is conducting the lecture. For instance, lecturers with a large class may find the hassle of having the attendance sheet being passed around the class and the manual signing of attendance by students are burdensome and most students are not concentrating on teaching [1]. In terms of analysis, the lecturer also has to perform manual computation to obtain the students’ attendance percentage, which normally consume a lot of time. As a consequence of that, lecturer can no longer trace the students overall record throughout the particular year. Apart from that, a lecturer also has limited access to the single-copy record.

Some students may accidentally sign another student's name. The first case leads to a student missing out their name, while the latter leads to a false attendance record. Another issue of having the record in a hardcopy form is that a lecturer may lose the sheet [2]. Sometimes storage of sheets needs cupboard or lots of space. The limitations imposed by the conventional system, we propose a solution in the form of an attendance tracking system based on RFID technology.

Our aim is to capture student attendance in a semiautomated way where the students are required to flash their card at the RFID reader upon entering the classroom. But the RFID based student attendance system requires students to manually handle the RFID card every time they attend a class. It is a wireless system, with real-time visual display of activities, resulting in the improvement in efficiency and accuracy with less human efforts in data entry. It reduces the delivery and assembly processes time.

The RFID card may get lost. Face recognition helps to recognize the facial image in more efficient and accurate in order to match with the identity stored in the database. Having said the limitations imposed by the RFID attendance recording system, we propose a solution in the form of an attendance tracking system based on Face recognization based on GSM based technology [3]. The system throughout the academic faculty will benefit the academic management as students attendance to classes is one of the key factor in improving the quality of teaching and monitoring their students’ performance.

The objective of our project is to implement a stillimage based face recognition algorithm by using web cam. After research into the field of image processing, we have found that there is ample room for improving

32

International Journal of Research in Advent Technology, Vol.2, No.8, August 2014 E-ISSN: 2321-9637 upon currently available face authentication systems.

An RGB camera can provide us with the necessary resources to achieve such improvements in face recognition. These resources include various camera, GSM board, Personal Computer, LCD.

2. GSM Modem 3. Web-Cam 4. Power supply 5. AVR controller 6. LCD 7. SIM 3. FLOWCHART OF THE RECORDING SYSTEM USING FACE RECOGNITION

Fig. 1: Face Recognition and Detection

2. OPERATION OF RECORDING SYSTEM USING FACE RECOGNITION This is the diagram of student attendance using face recognition with GSM based. AVR microcontroller is interface with GSM board and LCD. Face of the particular student is captured by web-cam and stored into the database by using MATLAB code in the form of pixels. LCD are used for indicating delivery report about message sending to the number which are stored in controller. Different AT Commands are used for different purpose.

Fig. 3: GUI Input Image Flowchart

Fig. 2: Block Diagram Of Student Recording Using Face Recognition With GSM Based.

A) Using GSM board we can send message to any mobile number which a re stored into database.

B) By interfacing the GSM modem with PC containing MATLAB code.

C) GSM MODEM, PC, SIM, LCD (Liquid Crystal Display), microcontroller, power supply and also some connecting wires are the common peripherals required for developing GSM based applications [4].

Fig. 4: Flowchart of the GUI of Identify Face Process Fig. 3 shows that how GUI works for input image processing. Overview of capturing image from outside world and Save in database. If image is not captured properly then it will gives error otherwise it display output message of matching face. Fig. 4 shows that steps of identifying face process.

Different component are used for implementation.

They are mentioned below [5].

1. USB to Serial Convertor

33

International Journal of Research in Advent Technology, Vol.2, No.8, August 2014 E-ISSN: 2321-9637 4. SIMULATION RESULTS There are different parts of panel are used, the Web-Cam control I/O and the processing unit. The first part receives an input face image through the camera. This process captures only the facial part of the image. We are using LIST component for display the presence of different device which are connected externally or inbuilt. The Selection of device from the list indicates camera activation. Images are cropped in square form according to its threshold value. After the “Start� button is pressed, the interrupt signal is sent to our camera which is connected externally, which has now stopped its task since the outside image is obtained. [6].

getting result, MATLAB code gives some particular signal to the controller.

Fig.7. Prototype Based On GSM Based Application.

Controller detects the signal which is coming from personal computer. In such a way controller sends message to the other student who are not available at that time. Fig. 7 shows prototype based on GSM based application.

5. CONCLUSIONS

Fig. 5: Control Point Detection Control point detection techniques are applied to the image. In order to compare the similarity measurement with the stored image, our reference point is based on the distance between extracted features such as nose, eye, etc‌ is shown in Fig. 5.

Fig.6. Resulted Score.

Depending on the value of resulted score, it gives the result about matching in the form of message.

Message sending is done with the help of GSM board [7]. Distance between control points of outside image is match with the distance between control points of previous image which are stored in database. After that matching keeps continuously updates it score is shown in Fig. 6 i.e face matched with user1. After

Student recording system using face authentication was designed and implemented. It was tested with different face images. This idea is working properly with different panel. All windows are running independently and parallel. If recognition is to compete as a viable biometric for authentication, then a further order of improvement in recognition score is necessary. Under controlled condition, when lighting and pose can be restricted, this may be possible. It is more likely, that future improvements will rely on making better use of video technology and employing fully 3D face models.

We hope that this system provides some additional insight into the field of image processing and contributes to the development of the field. Face as a biometric modality is widely acceptable for the general public, and face recognition technology is able to meet the accuracy demands of a wide range of applications. Also we realize that this project saves time, energy and hence environment. Cost of printing card is also reduced. In addition, we found that our database was limiting. The MATLAB code was developed and it met the design criteria and solves the problem. Future work will be focused on verifying the algorithm performance against general images and studying the required modifications to make the algorithm robust with any image. These ideas will be implemented in future.

34

International Journal of Research in Advent Technology, Vol.2, No.8, August 2014 E-ISSN: 2321-9637 REFERENCES [1]Mahyidin, M.F. Student Attendance Using RFID System. 2008 December 2012; Available from: http://umpir.ump.edu.my.

[2]Gatsheni, B.N., R.B. Kuriakose, and F. Aghdasi.

Automating a student class attendance register using radio frequency identification in South Africa. in Mechatronics, ICM2007 4th IEEE International Conference on. 2007.

[3]Tokiwa, Y., K. Nonobe, and M. Iwatsuki. Webbased tools to sustain the motivation of students in distance education. in Frontiers in Education Conference, 2009. FIE '09. 39th IEEE. 2009.

[4]Chuo-Ling Chang, Edward Li, Zhifei Wen, Rendering Novel Views of faces Using Disparity Estimation. Stanford EE368 Spring 2000/2001 Final Project.

[5]W. Zhao, R. Chellapra, P.J. Phillips, A. Rosenfeld, “Face Recognition: A Literature Survey,” ACM Computing Surveys, Vol. 35, No. 4, December 2003, pp. 399-458 [6]M.A. Turk, A.P. Pentland. “Face Recognition Using Eigenfaces,” IEEE Conference on Computer Vision and Pattern Recognition, pp.586--591, 1991.

[7]X. Li and S. Areibi, “A Hardware/Software Codesign Approach for Face Recognition,” Proc.

16th International Conference on Microelectronics, Tunis, Tunisia, Dec 2004. .

35