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題名:生物辨識系統犯罪預防效果之比較探討
書刊名:前瞻科技與管理
作者:唐雲明 引用關係周震維
作者(外文):Tang, Yum-mingChou, Chen-way
出版日期:2014
卷期:4:2
頁次:頁1-20
主題關鍵詞:生物辨識安全作業風險管理整合軟體初步危險分析法情境犯罪預防理論BiometricSecurityPreliminary hazard analysisPHAOperational risk management integration toolsORMITSituational crime prevention theory
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
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  • 共同引用共同引用:383
  • 點閱點閱:186
隨著尖端生物辨識技術的發展趨勢,生物辨識系統在安全實務上的運用已日益普及,並被宣稱有助於預防犯罪。但儘管如此,目前尚鮮少有從情境犯罪預防理論的角度來對其深入評量者。有鑑於此,本文首先根據市場調查,找出市場占有率最高的主流技術,包括指紋辨識、人臉辨識、虹膜辨識及簽名辨識等4種類型生物辨識系統。接著,以Clarke情境犯罪預防理論的5種構面為指標,利用作業風險管理整合軟體(ORMIT V.3.0),逐一分析評量其犯罪預防的效果並排出名次。結果顯示,虹膜辨識系統的犯罪預防效果最佳,簽名辨識系統次佳,人臉辨識系統又次之,指紋辨識系統殿後。
With the trend of cutting-edge biometrics technology, biometrics security systems used in the increasingly common practice, and is claimed to help prevent crime; however, they rarely have from the perspective of situational crime prevention theory to its in-depth assessment. For this reason, this paper based on market research to identify the highest market share of mainstream technologies including: fingerprint, face recognition, iris recognition, and signature of the four types of biometric identification systems. Take the five dimensions of Clarke situational crime prevention theory as an indicator, the use of integrated operational risk management software (ORMIT V.3.0), analyzed individually assess the effect of its crime prevention and to discharge ranking. The results showed that the best is iris recognition system. The second is signature recognition system. The third is face recognition system, and the fourth is fingerprint identification system.
期刊論文
1.王君逸(20121200)。人臉辨識技術在圖書館的應用分析與實例。中華民國圖書館學會會訊,20(2)=159,53-58。  延伸查詢new window
2.曹乙帆(2009)。從身體裡頭找密碼:生物辨識技術點將錄。RUN! PC,188,44-54。  延伸查詢new window
3.楊士隆(19940900)。情境犯罪預防之技術與範例。警學叢刊,25(1)=97,87-105。new window  延伸查詢new window
圖書
1.崔海恩、王承宗、吳富堯、陳楊正光(2011)。作業風險管理指南。高雄:凱林國際教育股份有限公司。  延伸查詢new window
2.蔡德輝、楊士隆(2006)。犯罪學。臺北:五南。new window  延伸查詢new window
其他
1.DIGITIMES(2010)。技術成熟與環境需求:生物辨識大步躍進,http://www.digitimes.com.tw/tw/iac/shwnws-a sp?cnlid=19&cat=10&catl=15&id=0000173791_9KT6MUSQLD8T5R0BZQ39I#ix zz2SKfyoiuN, 2014/03/02。  new window
2.DIGITIMES(20100311)。應用環境更複雜險惡:多重生物辨識法興起,http://www.digitimes.com_tw/tw/iac/shwnws.asp?cnlid=19&cat=10&catl=15&id=0000173794_QSU6E5LJL85AHI36YHQ8V#ixzz2SKhOyo5Dhttp://www.digitimes.com.tw/tw/iac/shwnws.asp?cnlid=19&cat=10& cat 1=15&id=0000173 794_QSU6E5LJL85AHI3 6YHQ8V, 2014/03/02。  new window
3.王大維,謝孟玆(2009)。生物辨識技術之機會與商機研究,http://ieknet.iek.org.tw/pubinfo-detail.screen?pubid=214760085, 2014/03/02。  延伸查詢new window
4.黃俊能(2008)。生物識別系統概論,http://www.cnhuang.cpu.edu.tw/class/Security_Sys/Ch03.ppt, 2014/03/02。  new window
5.黃俊能(2010)。其他補充資料,http://web.ntpu.edu.tw/~sjou/images/pdf/ 20101022-1.pdf, 2014/03/02。  new window
6.(2013)。辨識系統,http://zh.wikipedia.org/wiki/辨識系統, 2014/03/02。  延伸查詢new window
圖書論文
1.Cornish, D. B.、Clarke, R. V.(2003)。Opportunities, Precipitators and Criminal Decision: A Reply to Wortley's Critique of Situational Crime Prevention。Theory for Situational Crime Prevention, Crime Prevention Studies。Monsey, NY:Criminal Justice Press。  new window
2.Clarke, R. V.、Homel, R.(1997)。A Revised Classification of Situational Crime Prevention Techniques。Crime Prevention at a Crossroads。Cincinnati, OH:Anderson。  new window
 
 
 
 
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