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研究生： 李和謙
論文名稱： 應用溫度層技術之人臉辨識系統設計
指導教授： 曾煥雯
學位類別： 碩士
Master
系所名稱： 工業教育學系
Department of Industrial Education
論文出版年： 2011
畢業學年度： 99
語文別： 中文
論文頁數： 70
中文關鍵詞： 生物辨識技術 、人臉辨識 、鼻孔定位技術 、溫層分割器
論文種類： 學術論文
相關次數： 點閱：102  下載：6 
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    • 生物辨識技術蓬勃發展的時代中，隨著科技日新月異，許多產業伴隨著科技產品，使得產業生態不斷地在改變，保全業已從以往投入大量的人力資源逐漸轉為效率較好的監控設備投資，亦可達到建築物進出入管制之功用。

    　　本研究提出一種以溫度分層為概念的特徵資訊做為比對的特徵，並應用於人臉辨識的領域。整個架構主要分為建置階段與辨識階段。其中，特徵萃取包含有鼻孔定位技術、人臉分割的演算法及溫層分割器的設計等。本論文將溫層分割為五層並進行像素統計，做為本研究之特徵空間，並利用身份符合性考驗為辨識器用以達成驗證個人身份之目的。最後，針對本研究所提出之方法進行辨識效率的計算。

    　　藉由本論文所提出之研究方法、步驟及流程，並且由實際驗證可知，系統的辨識成功率可達93.33%。

    謝誌 i 中文摘要 ii 英文摘要 iii 目錄 iv 圖目錄 vii 表目錄 ix 第一章　緒論 1 　1.1　研究背景與動機 1 　1.2　研究目的 2 　1.3　研究限制 2 　1.4　研究方法 3 　1.5　研究步驟 4 第二章　文獻探討與回顧 6 　2.1　國內外之相關研究 6 　2.2　人臉辨識之探討 10 　2.3　熱紅外光線之探討 12 　　2.3.1　一般紅外光線簡介 13 　　2.3.2　熱影像之特性與原理 14 　　2.3.3　熱影像之應用領域 16 第三章　系統架構分析與方法 18 　3.1　系統架構設計 18 　3.2　影像前處理 19 　　3.2.1　影像濾波 19 　　3.2.2　影像膨脹 21 　　3.2.3　影像侵蝕 25 　　3.2.4　二值化 26 　　3.2.5　區域填充 31 　　3.2.6　鼻孔定位技術 35 　3.3　特徵擷取之方法 38 　　3.3.1　生理特徵的意涵 38 　　3.3.2　人臉分割技術 38 　　3.3.3　溫層分割技術 41 　3.4　特徵區域選擇與分析 43 　　3.4.1　鼻孔呼吸之影響 43 　　3.4.2　毛髮遮蔽之影響 44 　　3.4.3　眼鏡區域之影響 44 　　3.4.4　最佳特徵區之選擇 45 　3.5　身份符合性考驗之方法 46 　　3.5.1　卡方考驗 46 　　3.5.2　標么值的設計 47 　3.6　性能評估之方法 48 第四章　系統實現 49 　4.1　實驗設備與系統開發環境 49 　4.2　特徵資料擷取 51 　4.3　實驗結果 54 　　4.3.1　成功比對之樣本 54 　　4.3.2　不接受比對結果之樣本 56 　　4.3.3　比對錯誤之樣本 57 第五章　結論與後續研究 60 　5.1　結論 60 　5.2　後續研究 61 參考文獻 63 作者簡介 68 附錄一　專有名詞對照表 69 附錄二　影像擷取同意書 71 附錄三　熱紅外線人臉影像圖庫 72 附錄四　受測試者溫層特徵分佈表 82

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