Tracking attendance for reserve army via image processing / Muhammad Adnin Shahri

An attendance tracking system is the easiest way to keep track the attendance of staffs within a company or an organization. Currently, attendance tracking systems are using biometrics, barcode, Bluetooth and manual methods. However in Bukit Beruang Askar Wataniah camp, they are still using manually...

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Main Author: Shahri, Muhammad Adnin
Format: Thesis
Language:English
Published: 2015
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/14606/
http://ir.uitm.edu.my/id/eprint/14606/1/TD_MUHAMMAD%20ADNIN%20SHAHRI%20CS%2015_5.pdf
id uitm-14606
recordtype eprints
spelling uitm-146062016-08-24T08:36:43Z http://ir.uitm.edu.my/id/eprint/14606/ Tracking attendance for reserve army via image processing / Muhammad Adnin Shahri Shahri, Muhammad Adnin Image processing Pattern recognition systems An attendance tracking system is the easiest way to keep track the attendance of staffs within a company or an organization. Currently, attendance tracking systems are using biometrics, barcode, Bluetooth and manual methods. However in Bukit Beruang Askar Wataniah camp, they are still using manually in taking attendance which is inefficient. The reserve army needs to write their names, the time arrives and then sign the in a log book. This process is time consuming and it take time to enter their particular and other reserve army has to wait for their turn. Besides, the reserve army has another commitment because some of them work in other places and outside the camp area. Thus, it causes them to wrongly write the time in the log book. Therefore, in order to overcome these problems, image recognition project is conducted. It captures the serial number from the reserve army from identification card. In this project, the image processing is focusing on binarization technique to convert grayscale image to black and white image for further processing. The binarization is preserving edges and high-frequency parts of an image. The result from this project is 83.33% accuracy and the user will be able to reduce the reserve army time while taking attendance. It will also improve the efficiency of taking attendance with less error. In future, it can be enhance by generating the report based on the reserve army attendance information stored in excel. 2015 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/14606/1/TD_MUHAMMAD%20ADNIN%20SHAHRI%20CS%2015_5.pdf Shahri, Muhammad Adnin (2015) Tracking attendance for reserve army via image processing / Muhammad Adnin Shahri. Degree thesis, Universiti Teknologi MARA.
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Image processing
Pattern recognition systems
spellingShingle Image processing
Pattern recognition systems
Shahri, Muhammad Adnin
Tracking attendance for reserve army via image processing / Muhammad Adnin Shahri
description An attendance tracking system is the easiest way to keep track the attendance of staffs within a company or an organization. Currently, attendance tracking systems are using biometrics, barcode, Bluetooth and manual methods. However in Bukit Beruang Askar Wataniah camp, they are still using manually in taking attendance which is inefficient. The reserve army needs to write their names, the time arrives and then sign the in a log book. This process is time consuming and it take time to enter their particular and other reserve army has to wait for their turn. Besides, the reserve army has another commitment because some of them work in other places and outside the camp area. Thus, it causes them to wrongly write the time in the log book. Therefore, in order to overcome these problems, image recognition project is conducted. It captures the serial number from the reserve army from identification card. In this project, the image processing is focusing on binarization technique to convert grayscale image to black and white image for further processing. The binarization is preserving edges and high-frequency parts of an image. The result from this project is 83.33% accuracy and the user will be able to reduce the reserve army time while taking attendance. It will also improve the efficiency of taking attendance with less error. In future, it can be enhance by generating the report based on the reserve army attendance information stored in excel.
format Thesis
author Shahri, Muhammad Adnin
author_facet Shahri, Muhammad Adnin
author_sort Shahri, Muhammad Adnin
title Tracking attendance for reserve army via image processing / Muhammad Adnin Shahri
title_short Tracking attendance for reserve army via image processing / Muhammad Adnin Shahri
title_full Tracking attendance for reserve army via image processing / Muhammad Adnin Shahri
title_fullStr Tracking attendance for reserve army via image processing / Muhammad Adnin Shahri
title_full_unstemmed Tracking attendance for reserve army via image processing / Muhammad Adnin Shahri
title_sort tracking attendance for reserve army via image processing / muhammad adnin shahri
publishDate 2015
url http://ir.uitm.edu.my/id/eprint/14606/
http://ir.uitm.edu.my/id/eprint/14606/1/TD_MUHAMMAD%20ADNIN%20SHAHRI%20CS%2015_5.pdf
first_indexed 2023-09-18T22:52:01Z
last_indexed 2023-09-18T22:52:01Z
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