A Face Detection Scheme with Mask Detection to Prevent Fraudulent Use of ATM Cards in ATM

• Main Authors: Chih-Wei Li, 李志偉
• Other Authors: Shih-Hsiung Twu
• Format: Others
• Language: en_US
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/41782807109049126493

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.