The application of face recognition in National Health Insurance IC Card

碩士 === 國立臺灣大學 === 電機工程學研究所 === 93 === IC cards for health insurance has been taken effect throughout Taiwan. This is medically beneficial to the people. However, this card is closely related to everyone’s privacy and to their personal important medical data, has been the target of piracy. Therefore,...

Full description

Bibliographic Details
Main Authors: Yung-Chih Shi, 徐雍智
Other Authors: 張璞曾
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/88130546964490419070
id ndltd-TW-093NTU05442075
record_format oai_dc
spelling ndltd-TW-093NTU054420752015-12-21T04:04:13Z http://ndltd.ncl.edu.tw/handle/88130546964490419070 The application of face recognition in National Health Insurance IC Card 人臉辨識於IC健保卡上的應用 Yung-Chih Shi 徐雍智 碩士 國立臺灣大學 電機工程學研究所 93 IC cards for health insurance has been taken effect throughout Taiwan. This is medically beneficial to the people. However, this card is closely related to everyone’s privacy and to their personal important medical data, has been the target of piracy. Therefore, the purpose of this research is to offer a mechanism to prevent the occurrence of piracy by combining human face recognition method into the system for IC health insurance cards. When people register at hospital, their IC card is readed by card reader. At the same time ,the CCD equipped on the card reader will take pictures of their faces. From the features of the human face stored on the IC card, we can compare these with the instantaneous picture to make sure that the user of this IC card is the correct person .As everyone has his unique face features ,it is very difficult to imitate.We can use this characteristic to eliminate the risk of being counterfeited. 張璞曾 2005 學位論文 ; thesis 66 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺灣大學 === 電機工程學研究所 === 93 === IC cards for health insurance has been taken effect throughout Taiwan. This is medically beneficial to the people. However, this card is closely related to everyone’s privacy and to their personal important medical data, has been the target of piracy. Therefore, the purpose of this research is to offer a mechanism to prevent the occurrence of piracy by combining human face recognition method into the system for IC health insurance cards. When people register at hospital, their IC card is readed by card reader. At the same time ,the CCD equipped on the card reader will take pictures of their faces. From the features of the human face stored on the IC card, we can compare these with the instantaneous picture to make sure that the user of this IC card is the correct person .As everyone has his unique face features ,it is very difficult to imitate.We can use this characteristic to eliminate the risk of being counterfeited.
author2 張璞曾
author_facet 張璞曾
Yung-Chih Shi
徐雍智
author Yung-Chih Shi
徐雍智
spellingShingle Yung-Chih Shi
徐雍智
The application of face recognition in National Health Insurance IC Card
author_sort Yung-Chih Shi
title The application of face recognition in National Health Insurance IC Card
title_short The application of face recognition in National Health Insurance IC Card
title_full The application of face recognition in National Health Insurance IC Card
title_fullStr The application of face recognition in National Health Insurance IC Card
title_full_unstemmed The application of face recognition in National Health Insurance IC Card
title_sort application of face recognition in national health insurance ic card
publishDate 2005
url http://ndltd.ncl.edu.tw/handle/88130546964490419070
work_keys_str_mv AT yungchihshi theapplicationoffacerecognitioninnationalhealthinsuranceiccard
AT xúyōngzhì theapplicationoffacerecognitioninnationalhealthinsuranceiccard
AT yungchihshi rénliǎnbiànshíyúicjiànbǎokǎshàngdeyīngyòng
AT xúyōngzhì rénliǎnbiànshíyúicjiànbǎokǎshàngdeyīngyòng
AT yungchihshi applicationoffacerecognitioninnationalhealthinsuranceiccard
AT xúyōngzhì applicationoffacerecognitioninnationalhealthinsuranceiccard
_version_ 1718154659577724928