Fully Automated Attendance Record System Using Template Matching Technique

Only available on StudyMode
  • Download(s) : 917
  • Published : October 4, 2011
Open Document
Text Preview
International Journal of Engineering & Technology IJET-IJENS Vol: 10 No: 03

57

Fully Automated Attendance Record System using Template Matching Technique Tabassam Nawaz†, Amber Assad††, Zunaira Khalil††† tabassam.nawaz@uettaxila.edu.pk , amberasad2003@yahoo.co.uk , zunaira0001@yahoo.com

of Software Engineering, University of Engineering & Technology Taxila, Pakistan of Software Engineering, University of Engineering & Technology Taxila, Pakistan ††† Department of Software Engineering, University of Engineering & Technology Taxila, Pakistan †† Department

†Faculty

Summary This research paper “Fully Automated Attendance Record System using Template Matching Technique” focuses on the need to design a system that will automatically arrange the record and calculate the average attendance of each student. Manual attendance record system is not efficient and requires time to arrange record and to calculate the average attendance of each individual student. The Attendance Record System is intended to replace the manual model of attendance record keeping. The paper describes an efficient image processing algorithm that reads the scanned hard copy accurately and further calculates the absence or presence accordingly. In Image processing, noise is present in scanned images. This noise must be removed from scanned images. The Paper also describes a noise removal method that will remove noise efficiently from scanned images. Key words: Median Filter, Region based segmentation, template matching, pattern recognition, convolution

arrange the record and calculate the average attendance of each student. The proposed Attendance Record System is intended to replace the manual model. The system contains attendance records in electronic files containing details of absence or presence of a specific student enrolment during a semester. This project will try to organize the current university attendance record system that will be much quicker and will save time of instructors. The Attendance Record System will allow the instructors to maintain a record of attendance of students in their respective classes on a paper. System will automatically update the attendance on the server of the respective student on the university server as well as soon as the attendance sheet is scanned. The goal is to provide a professor with an easy, time saving solution to attendance record maintenance and statistics. An attendance record for each and every student is needed for each and every lecture and must be submitted after the lecture. Attendance record system includes the scanning of hard copy of attendance sheet that will involve the techniques of digital image processing. Digital image processing performs image processing on digital images through the use of various different computer algorithms. Various algorithms are available for this purpose. Through digital image processing, many complex algorithms can be applied which results in better removal of noise and hence better image quality. Digital image processing is the only useful technology for classification, feature extraction, pattern recognition etc. Further Image comparison or image matching and further image segmentation will be helpful in sorting out the attendance of students

1. Introduction
Attendances are maintained in every school, college and university. A proper record needs to be maintained by respective teachers. Manual attendance record system is not efficient and requires time to arrange record and to calculate the average attendance of each individual student. So there is a need to design a system that will automatically

International Journal of Engineering & Technology IJET-IJENS Vol: 10 No: 03

58

individually. Image segmentation results in the division of a digital image into segments. Segmentation is performed in order to gain an image that is much clear and can be easily analyzed. Image segmentation results into a set of images that make up a whole image....
tracking img