Fingerprint Attendance System (P-0580) (MFN 4788)

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dc.contributor.author Sammiullah Sajid, 01-133102-164
dc.contributor.author Muhammad Asim, 01-133102-141
dc.date.accessioned 2017-07-12T05:42:16Z
dc.date.available 2017-07-12T05:42:16Z
dc.date.issued 2014
dc.identifier.uri http://hdl.handle.net/123456789/2374
dc.description Supervised by Mr. Adeel M. Syed en_US
dc.description.abstract In real life, almost all the projects have strict requirements of time and cost. This is a research-based project which involves fingerprint image recognition through which a student attendance is marked efficiently. Finger-Print attendance system is one of the most successful applications of Finger-Print technology. One of the main advantage of a Finger-Print attendance system is it avoids "buddy-punching". Buddy punching was a major loophole which will be exploiting in the traditional time attendance systems. Fingerprint recognition is an established field today. Most fingerprint-based systems store the minutiae template of a user in the database. It has been traditionally assumed that the minutiae template of a user does not reveal any information about the original fingerprint. This belief has now been shown to be false; several algorithms have been proposed that can reconstruct fingerprint images from minutiae templates. In our project we take 4 different samples consisting of different algorithms the idea is that it reconstructs the fingerprint image and is converted into the grayscale image. The proposed reconstruction algorithm reconstructs the phase image from minutiae. The proposed reconstruction algorithm is used to automate the whole process of taking attendance, manually which is a laborious and troublesome work and waste a lot of time, with its managing and maintaining the records for a period of time is also a burdensome task. The proposed reconstruction algorithm has been evaluated with respect to the success rates of type-I attack (match the reconstructed fingerprint against the original fingerprint) and type-II attack (match the reconstructed fingerprint against different impressions of the original fingerprint) using a commercial fingerprint recognition system. Given the reconstructed image from our algorithm, we show that both types of attacks can be effectively launched against a fingerprint recognition system. The system includes terminal fingerprint acquisition module and attendance module. It can realize automatically such functions as information acquisition of fingerprint, processing, finger-Print matching and making an attendance report. After taking the attendance, this system saves the attendance of every student which is viewed by teacher and admin and as well as the student. Attendance system facilitates access to the attendance of a particular student in a particular class. This system eliminates the need for stationary materials and personnel for the keeping of records. en_US
dc.language.iso en en_US
dc.publisher Software Engineering, Bahria University Engineering School Islamabad en_US
dc.relation.ispartofseries BSE;P-0580
dc.subject Software Engineering en_US
dc.title Fingerprint Attendance System (P-0580) (MFN 4788) en_US
dc.type Project Report en_US


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