A Face Detection Scheme with Mask Detection to Prevent Fraudulent Use of ATM Cards in ATM
碩士 === 中原大學 === 電機工程研究所 === 105 === Abstract In this thesis, we propose a face detection scheme with mask detection to prevent fraudulent use of ATM cards to increase safety for application of ATM. The purpose of our scheme is to solve the following problem. In ATM application, criminal'&a...
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ndltd-TW-105CYCU54420142017-08-21T04:03:52Z http://ndltd.ncl.edu.tw/handle/41782807109049126493 A Face Detection Scheme with Mask Detection to Prevent Fraudulent Use of ATM Cards in ATM 一種防止ATM盜用的人臉面膜檢測機制 Chih-Wei Li 李志偉 碩士 中原大學 電機工程研究所 105 Abstract In this thesis, we propose a face detection scheme with mask detection to prevent fraudulent use of ATM cards to increase safety for application of ATM. The purpose of our scheme is to solve the following problem. In ATM application, criminal''s face information can''t be recorded, because they usually use someone''s ATM card and deliberately cover their face. First, we open webcam to capture a live video and detect the user''s face portion by training cascading classifier for human face with Viola-Jones algorithm. Second, the user''s face image is transformed grayscale from RGB space. The grayscales image are blurred and sharpened to get images of face edge and facial features. These images are combined to detect if it is a mask image. Finally, we judge the threshold to accurately distinguish whether the face wearing a mask. In this thesis, the results of our research are as follows: 1. Reduce misjudgment : The mask detection solves the misjudgment of face detection. 2. Increase security of personal property : The detection system prevent lost cards from being used by others. Shih-Hsiung Twu 涂世雄 2017 學位論文 ; thesis 42 en_US |
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碩士 === 中原大學 === 電機工程研究所 === 105 === Abstract
In this thesis, we propose a face detection scheme with mask detection to prevent fraudulent use of ATM cards to increase safety for application of ATM. The purpose of our scheme is to solve the following problem. In ATM application, criminal''s face information can''t be recorded, because they usually use someone''s ATM card and deliberately cover their face.
First, we open webcam to capture a live video and detect the user''s face portion by training cascading classifier for human face with Viola-Jones algorithm. Second, the user''s face image is transformed grayscale from RGB space. The grayscales image are blurred and sharpened to get images of face edge and facial features. These images are combined to detect if it is a mask image. Finally, we judge the threshold to accurately distinguish whether the face wearing a mask.
In this thesis, the results of our research are as follows:
1. Reduce misjudgment : The mask detection solves the misjudgment of face detection.
2. Increase security of personal property : The detection system prevent lost cards from being used by others.
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author2 |
Shih-Hsiung Twu |
author_facet |
Shih-Hsiung Twu Chih-Wei Li 李志偉 |
author |
Chih-Wei Li 李志偉 |
spellingShingle |
Chih-Wei Li 李志偉 A Face Detection Scheme with Mask Detection to Prevent Fraudulent Use of ATM Cards in ATM |
author_sort |
Chih-Wei Li |
title |
A Face Detection Scheme with Mask Detection to Prevent Fraudulent Use of ATM Cards in ATM |
title_short |
A Face Detection Scheme with Mask Detection to Prevent Fraudulent Use of ATM Cards in ATM |
title_full |
A Face Detection Scheme with Mask Detection to Prevent Fraudulent Use of ATM Cards in ATM |
title_fullStr |
A Face Detection Scheme with Mask Detection to Prevent Fraudulent Use of ATM Cards in ATM |
title_full_unstemmed |
A Face Detection Scheme with Mask Detection to Prevent Fraudulent Use of ATM Cards in ATM |
title_sort |
face detection scheme with mask detection to prevent fraudulent use of atm cards in atm |
publishDate |
2017 |
url |
http://ndltd.ncl.edu.tw/handle/41782807109049126493 |
work_keys_str_mv |
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