Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/8721
標題: 應用賈伯濾波器於虹膜辨識系統與FPGA實作
Iris Recognition System Based On Gabor Filters With FPGA Implementation
作者: 許嘉倫
Hsu, Chia-Lun
關鍵字: iris recognition
虹膜辨識
Gabor filter
feature selection
FPGA
Gabor filter
特徵選取
FPGA
出版社: 電機工程學系所
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摘要: 在生物辨識技術當中,虹膜辨識是其中的技術之一,虹膜辨識系統的高辨識率,使其在生物特徵領域中倍受矚目。在虹膜辨識上主要的挑戰在於萃取出較小的資料量又能充分代表獨特虹膜影像的特徵向量。 在本論文當中,我們使用Gabor Filters萃取出虹膜特徵並且發展一套有效的特徵編碼方法。藉由分析濾波器輸出影像的水平變化,產生一組虹膜特徵碼。在特徵選取演算法上,我們使用循序前進浮動搜尋(Sequential Forward Floating Search,SFFS)演算法,它可以去除多餘虹膜資訊,讓虹膜特徵向量減少並且提升系統效能。最後,以Verilog硬體描述語言(Hardware Description Language,HDL),來設計虹膜辨識系統中賈伯濾波器,在使用Xilinx ISE 8.1i將所設計的數位電路實現在場效可程式化邏輯閘陣列(File Programmable Gate Array,FPGA)硬體上。
Iris recognition is a biometric identification technology which has received increasing attention due to its high performance on human identification. A challenge of iris recognition is to extract the small-size data with sufficient information from distinctive iris patterns. In this thesis, we use Gabor filters to extract iris features and develop an effective encoding method. The proposed iris code is generated by analyzing and encoding the horizontal variation of each filtered image. In the feature selection algorithm, a sequential forward floating search(SFFS)scheme is adopted to remove redundant features to reduce the data size and improve the performance. Finally, the Gabor filter in the iris recognition system is designed using verilog HDL(Hardware Description Language)and then implemented on an FPGA(File Programmable Gate Array)using XILINX ISE 8.1i.
URI: http://hdl.handle.net/11455/8721
其他識別: U0005-2907200916121800
文章連結: http://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-2907200916121800
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