Attendance Management System for Industrial Worker using Finger Print Scanner

Md. Shakil; Rabindra Nath Nandi

Attendance Management System for Industrial Worker using Finger Print Scanner

Md. Shakil * §

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Rabindra Nath Nandi §

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§ Khulna University of Engineering & Technology (KUET)

Attendance Management System for Industrial Worker using Finger Print Scanner

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Abstract

Attendance management is the act of managing attendance or presence in a work setting, which maximizes and motivates employee attendance thereby minimizing loss. Not only does it affect productivity, it can cost the company profits or even additional contracts. For the industrial sector attendance management system can develop alacrity among the workers to work regularly and also help them to motivate their co-worker to attend work regularly. Fingerprints are considered to be the best and fastest method for biometric identification. They are secure to use, unique for every person and do not change in one’s lifetime. Fingerprint recognition is a mature field to-day, but still identifying individual from a set of enrolled fingerprints is a time taking process. This paper illustrates improvement of attendance management system based on fingerprint identification for implementation on large databases e.g. of an industry or a garments factory etc. In this project, many new algorithms have been used e.g. gender estimation, key based one to many matching, removing boundary minutiae. Using these new algorithms a new attendance management system has been developed which is faster and cheaper in implementation than any other available today in the market.

References

8 Cites in Article

Reference Format

1. Rishab Mishra,Prashant Trivedi,Prof Majhi Student Attendance System Basedon Fingerprint Recognition and One-to-Many Matching. Student Attendance System Basedon Fingerprint Recognition and One-to-Many Matching
2. Dr Josphineleela,Ramakrishnan (2012). An Efficient Automatic Attendance System Using Fingerprint Reconstruction Technique. IJCSIS) International Journal of Computer Science and Information Security, 10(3)
3. Gunjan Talaviya,A Rahul Ramteke,Shete (2013). Bus Attendance System using Optical Character Recognition. International Journal of Engineering and Advanced Technology, 9(4), 2133-2136.
4. Raffaele Cappelli,Dario Maio,Davide Maltoni,James,Anil Jain (2006). Performance E valuation of Fingerprint Verification Systems. IEEE transcations on pattern analysis and machine intelegence, 28(1)
5. L Rajasekar1,S Vivek2 (2012). Wireless Fingerprint Attendance System using ZigBee Technology. International Journal of Power Control Signal and Computation (IJPCSC), 3(1)
6. O Arulogun,A Olatunbosun,O Fakolujo,O Olaniyi (2013). RFID-Based Students Attendance Management System. International Journal of Scientific & Engineering Research, 4(2)
7. Michael Paik,Navkar Samdaria,Aakar Gupta,Julie Weber,Nupur Bhatnagar,Shelly Batra,Manish Bhardwaj,William Thies (2010). A biometric attendance terminal and its application to health programs in India. Proceedings of the 4th ACM Workshop on Networked Systems for Developing Regions, 1-6.
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Md. Shakil, Rabindra Nath Nandi. 2013. "Attendance Management System for Industrial Worker using Finger Print Scanner". Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F6).

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GJCST Volume 13 Issue F6

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

attendance management system Authentication Biometric fingerprint scanner

Classification

GJCST-F Classification I.5.4

Submission ReceivedDecember 12, 2012
Peer Review Double Blind
Handling Editor
Accepted January 5, 2013
Published August 10, 2013

Version of record

v1.2

Issue date

August 10, 2013

Language

English

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Article Matrices

Total Score: 102

Country: Bangladesh

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Md. Shakil, Rabindra Nath Nandi (PhD/Dr. count: 0)

View Count (all-time): 469

Total Views (Real + Logic): 1992

Total Downloads (simulated): 101

Publish Date: 2013 01, Tue

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Total Views: 2K

Total Downloads: 101

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