Attendance Monitoring System

Topics: Fingerprint, Biometrics, Facial recognition system Pages: 6 (2014 words) Published: September 19, 2013
Volume 3, Issue 4, April 2013

ISSN: 2277 128X

International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com

An Attendance Monitoring System Using Biometrics Authentication Seema Rao, Prof.K.J.Satoa CSE,CSVTU Chhattisgarh, India Abstract- Biometric technology that involves the identification and verification of individuals by analyzing the human fingerprint characteristics has been widely used in various aspect of life for different purposes, most importantly as regards this study the issue of employee attendance. The main aim of this paper is to develop an accurate , fast and very efficient automatic attendance system using fingerprint verification technique. We propose a system in which fingerprint verification is done by using extraction of minutiae technique and the system that automates the whole process of taking attendance, The study was conducted using a quantitative approach by designing a questionnaire as the data collection instrument based on fingerprint matching biometric technologies. The survey involved 6 employees based on stratified random sampling technique. The results however show that fingerprint biometric identifier was found suitable for the employee attendance management system of the organization. Keywords: Biometrics , fingerprint ,employee attendance , identifier ,etc . 1. Introduction In many institutions and organization the attendance is very important factor for various purposes and its one of the important criteria that is to follow for students and organization employees. The previous approach in which manually taking and maintains the attendance records was very inconvenient task. After having these issues in mind we develop an automatic attendance system which automates the whole process of taking attendance and maintaining it.We already know about some commonly used biometric techniques are used for objective identification ,verification are like iris recognition, voice identification, fingerprint identification, DNA recognition ,etc .Biometrics techniques are widely used in various areas like building security,etc. A fingerprint is an impression of the friction ridges on all parts of the finger. A friction ridge is a raised portion of the epidermis on the palmar (palm) or digits (fingers and toes) or plantar (sole) skin, consisting of one or more connected ridge units of friction ridge skin. These are sometimes known as "epidermal ridges" which caused by the underlying interface between the dermal papillae of the dermis A fingerprint is an impression of the friction ridges on all parts of the finger. A friction ridge is a raised portion of the epidermis on the palmar (palm) or digits (fingers and toes) or plantar (sole) skin, consisting of one or more connected ridge units of friction ridge skin. These are sometimes known as "epidermal ridges" which caused by the underlying interface between the dermal papillae of the dermis The term fingerprint is refers impressions transferred from the pad last joint of fingers and thumbs, though fingerprint cards also typically record portions of lower joint areas of the fingers (which are also used to make identifications)[6]. It is believed that no two people have identical fingerprint in world, so the fingerprint verification and identification is most popular way to verify the authenticity or identity of a person wherever the security is a problematic question. The reason for popularity of fingerprint technique is uniqueness of person arises from his behavior ; personal characteristics are like, for instance uniqueness, which indicates that each and every fingerprint is unique, different from one other. Universality ,that means every person hold the individual characteristics of fingerprint. The three basic patterns of fingerprint ridges are the arch, loop, and whorl  An arch is a pattern where the ridges enter from one side of the finger, rise in the center...

References: [1] Jianjiang Feng, “Combining minutiae descriptors for fingerprint matching”, Pattern Recognition, pp. 342 – 352, April 2007. [2] Peng Shi, Jie Tian, Qi Su, and Xin Yang, “A Novel Fingerprint Matching Algorithm Based on Minutiae and Global Statistical Features”, IEEE Conference, 2007. [3] Neeta Nain, Deepak B M, Dinesh Kumar, Manisha Baswal, and Biju Gautham “Optimized Minutiae–Based Fingerprint Matching”, Proceedings, 2008. [4] BioLink 2006. Time and attendance, Retrieved 11thDecember,2011fromhttp://www.m3biometrics.co.uk/Portals/2/downloads/BioTime_Time_and_Attendance.pdf. [5] InfoTronics, Inc. 2008. Biometrics: Advantages for employee attendance verification, Michigan: Farmington Hills. Retrieved 11th November, 2011 from www.mwtime.com/biometrics.pdf. [6] Jain, A., Hong, L., Pankanti, S., Bolle, R., 1997. An Identity Authentication System Using Fingerprints. Retrieved 10th June, 2012 from http://biometrics.cse.msu.edu/Publications/Fingerprint/JainEtAlIdentityAuthUsingFp_ProcIEEE97.pdf. [7] K. Asai, Y. Hoshino and K. Kiji, “Automated fingerprint Identification by minutiae-network feature- feature extraction process,” IEICE transactions, Vol.J72-D-II, N0.5, pp 724-732, 1989. [8] Chaur-Chin Chen and Yaw-Yi Wang, “An AFIS Using Fingerprint Classification,” Image and Vision Computing, 2003. [9] Virginia Espinosa-Dur6, “Fingerprints Thinning Algorithm,” IEEE AES Systems Magazine, 2003. [10] U. Halici, L. C. Jain, A. Erol, "Introduction to Fingerprint Recognition,"Intelligent Biometric Techniques in Fingerprint and Face Recognition,L.C. Jain, U. Halici, I.Hayashi, S.B. Lee, S. Tsutsui (editors), CRCPress, 1999. [11] Manvjeet Kaur, Mukhwinder Singh, Akshay Girdhar, and Parvinder S.Sandhu, “Fingerprint Verification System using Minutiae Extraction Technique,” World Academy of Science, Engineering and Technology 46 2008. [12] Anil K. Jain, Arun Ross and Salil Prabhakar, “An introduction to biometric recognition,” Circuits and Systems for Video Technology,IEEE Transactions on Volume 14, Issue 1, Jan. 2004 Page(s):4 – 20. [13] L. O’Gorman, “Overview of fingerprint verification technologies,”Elsevier Information Security Technical Report, Vol. 3, No. 1, 1998. [14]. Eric P. Kukula, Christine R. Blomeke, Shimon K. Modi, and Tephen J. Elliott, “Effect of Human Interaction on Fingerprint Matching Performance, Image Quality, and Minutiae Count”, International Conference on Information Technology and Applications, pp. 771-776, (2008).
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