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作者(中文):翁若洪
作者(外文):Weng, Jo-Hung
論文名稱(中文):生物識別與管理的應用
論文名稱(外文):The Application of Biometric Identification and Management
指導教授(中文):洪世章
指導教授(外文):Hung, Shih-Chang
口試委員(中文):林博文
陳忠仁
曾詠青
口試委員(外文):Lin, Bou-Wen
Chen, Chung-Jen
Tseng, Yung-Ching
學位類別:碩士
校院名稱:國立清華大學
系所名稱:經營管理碩士在職專班
學號:106076508
出版年(民國):108
畢業學年度:107
語文別:中文
論文頁數:70
中文關鍵詞:生物識別生物應用市場應用
外文關鍵詞:biometrics identificationbiological applicationsmarket applications
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本研究旨在探討生物識別與生活中各場域會用到生物識別的方式,透過各生物識別的「特徵」,和當今識別的「技術」,以及裝置的「成本」,來研究在各場域間,使用生物識別的最適解。
現今隨處可見使用生物識別的應用產品,包含手持行動支付、安防管理產品、精準行銷、政府與公共設施、醫療與工業設備等,皆是使用生物識別產品來做管理。研究生物識別,首先要比對各生物識別的特徵點,意即各生物識別的優缺點,透過「安全」、「快速」、「精準」的比較方式,分析出各指紋、掌紋、指靜脈、虹膜、聲紋、人臉識別等六種目前生活常用的辨識方法,再相互比較用於各場域的優缺點。
以生物識別,開啟AI智能生活的第一把鑰匙。建構一個生物識別產業鏈的Ecosystem,首先要從生物識別Big Data大數據的收集開始,將資料的累積匯入雲端Cloud,再進行AI深度演算法,然後有效運用到各場域的應用管理Domain Knowledge,意即ABCDE的概念。獨一無二的生物識別特徵,可以做為大數據收集的第一步,以創造出更多的管理應用和更多的智能裝置,進而提升服務或產品的價值。
關鍵字:生物識別、生物應用、市場應用
This paper explores biometrics identification and its application to different fields in life and explain how the biometrics “feature”, i.e., “technology” and “cost”, is used to research in various fields and determine the better solution for biometrics identification. Biometric applications are now available everywhere, including mobile phones, security management products, accurate marketing, government and public facilities, medical and industrial equipment, and others. To research biometrics identification, we first have to compare the feature points and determine the advantage and disadvantage of each type of biometric identification. This paper compares “safety”, “speed”, and “accuracy”, to analyze and determine the advantages and disadvantages of the six common biometric identifications, such as fingerprints, palm print, finger veins, iris characteristics, voiceprint, and face recognition. Using biometrics as a key tool, and open AI intelligence life and build a biometric industry chain as an Ecosystem starts with the collection of biometric Big data, then integrates the data into the Cloud, uses the AI depth algorithm, and each field of Domain Knowledge. That becomes the concept known as ABCDE. Unique biometric feature scan be used as the first step in big data collection, which then creates more management applications and more intelligence devices to use to enhance the value of services or the usefulness of products.
Keyword: biometrics identification, biological applications, market applications
中文摘要.............................................................I
ABSTRACT............................................................II
致謝詞.............................................................III
目錄................................................................IV
圖目錄..............................................................VI
表目錄.............................................................VII

第一章 導論..........................................................1
第一節 研究背景與動機.................................................1
第二節 研究目的.......................................................4
第三節 研究方法.......................................................7
第四節 各產業場域使用生物識別概況......................................8
第二章 生物識別探討..................................................14
第一節 生物識別的特性................................................14
第二節 生物識別特徵點................................................15
第三節 特徵點驗證或識別..............................................19
第四節 生物識別精度與防偽探討.........................................20
第五節 生物識別技術..................................................24
第三章 生物識別與管理應用場域之比較....................................39
第一節 比較生物識別與各管理應用場域....................................39
第二節 生物識別與管理應用場域的決策方法................................43
第三節 研究各場域的最適解.............................................45
第四節 資料比對分析..................................................55
第五節 生態鏈下的生物識別應用.........................................58
第四章 結論與建議....................................................61
第一節 研究結論......................................................61
第二節 研究貢獻......................................................62
第三節 管理實務意涵..................................................65
第四節 研究限制與未來研究建議.........................................66
參考文獻............................................................68
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