Attendance Management System for Industrial Worker using Finger Print Scanner

1
Md. Shakil
Md. Shakil
2
Rabindra Nath Nandi
Rabindra Nath Nandi
1 Khulna University of Engineering & Technology (KUET)

Send Message

To: Author

GJCST Volume 13 Issue F6

Article Fingerprint

ReserarchID

CSTGVZ1TJJ

Attendance Management System for Industrial Worker using Finger Print Scanner Banner
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu

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.

8 Cites in Articles

References

  1. Rishab Mishra,Prashant Trivedi,Prof Majhi 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.
  3. Gunjan Talaviya,A Rahul Ramteke,Shete (2013). Bus Attendance System using Optical Character Recognition.
  4. Raffaele Cappelli,Dario Maio,Davide Maltoni,James,Anil Jain (2006). Performance E valuation of Fingerprint Verification Systems.
  5. L Rajasekar1,S Vivek2 (2012). Wireless Fingerprint Attendance System using ZigBee Technology.
  6. O Arulogun,A Olatunbosun,O Fakolujo,O Olaniyi (2013). RFID-Based Students Attendance Management System.
  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.
  8. Samuel King,Opoku (2018). Automated Biometric Attendance Management System.

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.

Md. Shakil. 2013. \u201cAttendance Management System for Industrial Worker using Finger Print Scanner\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F6): .

Download Citation

Issue Cover
GJCST Volume 13 Issue F6
Pg. 17- 22
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Classification
Not Found
Version of record

v1.2

Issue date

August 10, 2013

Language

English

Experiance in AR

The methods for personal identification and authentication are no exception.

Read in 3D

The methods for personal identification and authentication are no exception.

Article Matrices
Total Views: 9355
Total Downloads: 2562
2026 Trends
Research Identity (RIN)
Related Research

Published Article

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.

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]
×

This Page is Under Development

We are currently updating this article page for a better experience.

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Attendance Management System for Industrial Worker using Finger Print Scanner

Md. Shakil
Md. Shakil Khulna University of Engineering & Technology (KUET)
Rabindra Nath Nandi
Rabindra Nath Nandi

Research Journals