Real-Time LCD Digit Recognition System
In recent years, the utilization of digital instruments in industries is quickly expanding. This is because digital instruments are typically more exact than the analog instruments, and easier to be read as they are hooked up to a liquid-crystal display (LCD). However, manual data entry from LCD dis...
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Institute Of Advanced Engineering And Science (IAES)
2017
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Online Access: | http://eprints.utem.edu.my/id/eprint/20901/2/Shima%20Yi%20Fong.pdf http://eprints.utem.edu.my/id/eprint/20901/ http://www.iaescore.com/journals/index.php/IJEECS/article/view/7375 |
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my.utem.eprints.209012021-07-09T22:11:29Z http://eprints.utem.edu.my/id/eprint/20901/ Real-Time LCD Digit Recognition System Mohd Saad, Norhashimah Mohd Noor, Nor Shahirah Abdullah, Abdul Rahim Ooi, Yi Fong Abdul Rahman, Nor Nabilah Syazana T Technology (General) TK Electrical engineering. Electronics Nuclear engineering In recent years, the utilization of digital instruments in industries is quickly expanding. This is because digital instruments are typically more exact than the analog instruments, and easier to be read as they are hooked up to a liquid-crystal display (LCD). However, manual data entry from LCD display is tedious and less accurate. This paper proposes a real-time LCD digit recognition system for the industrial purposes. The system is interfaced with an IP webcam to capture the video frames from the LCD display. The digital data is pre-processed into grayscale and being cropped into a selected region of interest (ROI). Adaptive thresholding and morphological operation are applied for the digit segmentation process. Data extraction and characterization are done by utilizing neural network classifier. Finally, all the information are logged out to Microsoft Excel spreadsheet. The 90% accuracy is accomplished for 50 test images of various LCD display. Institute Of Advanced Engineering And Science (IAES) 2017-05 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/20901/2/Shima%20Yi%20Fong.pdf Mohd Saad, Norhashimah and Mohd Noor, Nor Shahirah and Abdullah, Abdul Rahim and Ooi, Yi Fong and Abdul Rahman, Nor Nabilah Syazana (2017) Real-Time LCD Digit Recognition System. Indonesian Journal Of Electrical Engineering And Computer Science, 6 (2). pp. 402-411. ISSN 2502-4752 http://www.iaescore.com/journals/index.php/IJEECS/article/view/7375 10.11591/ijeecs.v6.i2.pp402-411 |
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T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Mohd Saad, Norhashimah Mohd Noor, Nor Shahirah Abdullah, Abdul Rahim Ooi, Yi Fong Abdul Rahman, Nor Nabilah Syazana Real-Time LCD Digit Recognition System |
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In recent years, the utilization of digital instruments in industries is quickly expanding. This is because digital instruments are typically more exact than the analog instruments, and easier to be read as they are hooked up to a liquid-crystal display (LCD). However, manual data entry from LCD display is tedious and less accurate. This paper proposes a real-time LCD digit recognition system for the industrial purposes. The system is interfaced with an IP webcam to capture the video frames from the LCD display. The digital data is pre-processed into grayscale and being cropped into a selected region of interest (ROI). Adaptive thresholding and morphological operation are applied for the digit segmentation process. Data extraction and characterization are done by utilizing neural network classifier. Finally, all the information are logged out to Microsoft Excel spreadsheet. The 90% accuracy is accomplished for 50 test images of various LCD display. |
format |
Article |
author |
Mohd Saad, Norhashimah Mohd Noor, Nor Shahirah Abdullah, Abdul Rahim Ooi, Yi Fong Abdul Rahman, Nor Nabilah Syazana |
author_facet |
Mohd Saad, Norhashimah Mohd Noor, Nor Shahirah Abdullah, Abdul Rahim Ooi, Yi Fong Abdul Rahman, Nor Nabilah Syazana |
author_sort |
Mohd Saad, Norhashimah |
title |
Real-Time LCD Digit Recognition System |
title_short |
Real-Time LCD Digit Recognition System |
title_full |
Real-Time LCD Digit Recognition System |
title_fullStr |
Real-Time LCD Digit Recognition System |
title_full_unstemmed |
Real-Time LCD Digit Recognition System |
title_sort |
real-time lcd digit recognition system |
publisher |
Institute Of Advanced Engineering And Science (IAES) |
publishDate |
2017 |
url |
http://eprints.utem.edu.my/id/eprint/20901/2/Shima%20Yi%20Fong.pdf http://eprints.utem.edu.my/id/eprint/20901/ http://www.iaescore.com/journals/index.php/IJEECS/article/view/7375 |
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1706960951047094272 |
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13.188404 |