虹膜紋理 的英文怎麼說

中文拼音 [hóngmówénlǐ]
虹膜紋理 英文
iris marking
  • 虹 : 虹名詞1. [口語] （雨後天空中出現的象弧形的彩帶） rainbow2. （姓氏） a surname
  • 膜 : 名詞1. [生物學] （像薄皮的組織） membrane 2. （像膜的薄皮） film; thin coating
  • 紋 : 名詞（花紋; 紋縷兒） lines; veins; grain
  • 理 : Ⅰ名詞1 （物質組織的條紋） texture; grain （in wood skin etc ） 2 （道理;事理） reason; logic; tru...
  • 虹膜 : [生理學] iris; irides虹膜固定術 iridodesis; iridesis; iridosis; 虹膜鏡 iridoscope; 虹膜切除術 iri...
  • 紋理 : vein; lines; stripes; grain; graining; varvity; texture紋理方向 grain direction
  1. We excogitate the gabor filter based - on sub - block texture analyse to extract the feature of iris normalized image and encode them. then, we use hamming distance to match two iris codes. in order to reduce the rotation of iris, we work out a new method

    4 .研究出基於子塊紋理分析的gabor濾波器方法來對虹膜歸一化圖像進行特徵提取和編碼;在虹膜編碼匹配中，本論文採用hamming距離來進行編碼之間的匹配。
  2. The technology of identification based on iris is researched in the article, the key point of the technology is the iris characteristic acquisition and recognition, therefore based on the iris image texture characteristic, using the wavelet transforms to get the characteristic of iris image, a new method named zero - crossing detection and secondary circle coding is used in the article

    本文研究的就是用虹膜進行身份識別的技術，該技術的關鍵是虹膜特徵提取和識別。基於虹膜圖像的紋理特徵，利用小波變換來提取虹膜圖像的特徵，本文提出了基於小波過零檢測的循環二次編碼的方法。
  3. Fingerprints, iris and face ), the gait has unexampled advantages such as difficult to hide and disguise, simple collection, identification from far away even in low - resolution and so on

    與傳統的指紋、虹膜、臉像等生物生理特徵相比，步態具有難于隱藏和偽裝、便於採集和遠距離低解析度識別等優點。
  4. Through analyzing the iris feature and combining with different feature extraction methods, we can realize iris recognition

    通過分析研究虹膜上豐富的紋理特徵，結合不同的特徵提取方法和分類器可以實現虹膜的身份認證。
  5. Handwritten signature has its own virtues : handwritten signature has been a human behavior characteristic and been widely accepted and applied since ancient times ; online signature capture devices are much cheaper than iris and palmprint devices ; handwritten signature is more difficult imitated than other personal physical characteristics. therefore, online handwritten signature verification is hotspot in the biometrics field

    簽名鑒別具有其獨特的優點:手寫簽名自古以來就是一種被人們普遍認可並廣泛應用的行為特徵;手寫簽名的採集設備價格比虹膜和掌紋等採集設備更低廉;作為一種行為特徵，手寫簽名比人體物理特徵更難于模仿等。
  6. The biomedical literature suggests that similar to fingerprints, irises posses distinct features for uniquely identifying a person. furthermore, iris is located on the naked part of human body as to enable the remote examination in the aid of & machine vision system. for this reason, iris - identification is regarded as a kind of noninvasive human identification technique

    虹膜具有類似指紋的獨一無二的個人特徵；而且，虹膜是身體中公開的部位，易於通過機器視覺進行遠程檢查，所以它是一種非侵犯性的生物識別技術，本文闡述了基於虹膜的身份識別系統的組成和原理。
  7. Then the exisiting algorithms on iris location are studied and the disadvantages are pointed. a new approach based on edge detection, mathematic morphology and probability statistic is put forward. after studing the means of daugman ’ s encode of iris texture and w. w. boles ’ extraction the unique features by the zero - crossings of the wavelet transform, we adopted wavelet multi - resolution analysis that extract the feature

    在研究和分析了前人的虹膜定位演算法以及daugman對虹膜紋理的編碼方法、 w . w . boles的小波過零點分析提取虹膜特徵識別演算法的基礎上，研究了基於邊緣檢測和數學形態學以及概率統計等理論的一種新的虹膜定位方法;研究了虹膜圖像的歸一化和圖像增強;研究了基於db4小波的多分辯率分析的虹膜特徵提取演算法;研究了相關系數匹配識別。
  8. Calibration algorithm for center deviation of circles for iris normalization

    虹膜紋理歸一化的圓心偏差校正演算法
  9. By means of the mathematical properties of cl multiwavelet, the iris texture feature can be presented accurately and primely

    利用cl多小波優良的數學性質，虹膜紋理特徵能夠被準確完整地表達。
  10. Iris identification is based on iris texture to identify persons, and it is one of most accurate biometrics technologies

    虹膜識別是基於人眼虹膜紋理特徵來確定人的身份的一種識別方法，也是最為準確的生物特徵識別方法之一。
  11. ( 3 ) a previous way of iris feature extraction based on gaussian - hermite moment is studied and applied in this paper, and the imfluences of some important parameters are explained

    3 .研究了gaussian - hermite矩的濾波特性，並參照已有的利用gaussian - hermite矩提取虹膜紋理特徵的方法，用此方法對虹膜信號進行特徵提取，同時，說明了各類參數對識別結果的影響。
  12. Such recognition algorithms the feature extraction based on a set of 2 - d gabor wavelet and computation of percentage mismatched bits hamming distance between a pair of iris representations developed by daugman, texture analysis methods developed by wildes and chinese academy of science, extraction of iris signatures by means of zero - crossing of the dyadic wavelet transform developed by boles and so on

    深入研究了多種典型識別演算法: daugman的基於2 - d復值gabor小波的虹膜相位編碼和hamming距離的方法; wildes和中科院的基於虹膜紋理分析的方法; boles的基於小波過零檢測的方法;上海交大的基於小波模極大值的方法等。並在此基礎上，對虹膜識別系統中的圖像預處理和識別的若干演算法進行了改進。
  13. Due to the unique, stable and live physiological properties of the iris and non - invasive to users, most stable and reliable for identification in practical applications of iris - based system, iris recognition is receiving extensive attention and becoming an active topic in biometrics. as an application - oriented research project, iris recognition integrates mathematic, computer science, optics, electronics and physiology etc. based on wavelet transform, aimed to improve the recognition performance, centered at wavelet - based iris feature representation and pattern classification, we review and explore the iris sequence image quality assessment, iris image pre - processing, iris recognition performance evaluation and several other linked topics. we mainly investigate on the principles and application methodology of wavelet transform for iris feature representation and iris pattern classification methods

    以小波變換技術為基礎，結合圖像處理和模式識別方法，設計並開發了虹膜圖像採集裝置，建立了虹膜識別演算法測試實驗平臺;重點研究了虹膜識別中的小波變換的應用基礎理論與關鍵實現技術;提出了基於小波局部模極大值的虹膜特徵表示及其多重匹配識別、基於小波多尺度信息的一維和二維虹膜紋理特徵量化表示、基於小波過零點技術的虹膜特徵表示及其規范化的部分hausdorff距離匹配識別，這三類方法能夠有效地提取虹膜特徵;基於自建的演算法測試平臺，對上述三類方法和其他三種國內外比較有影響的基於小波變換的虹膜識別方法進行了定量的性能比較和評價，通過實驗數據分析得到了有意義的結論;最後指出了小波變換技術在虹膜識別領域的研究重點與發展方向。
  14. While in the feature extraction, four ways are researched such as the means of encode of iris texture, the improved algorithm based on daugman ' s, the approach of identification by means of the fourier spectra of the transmission binary model of the human irises and the method of iris identification using wavelet transform. the advantages and disadvantages of these ways are compared. improved algorithm based on wavelet transform is proposed and proves feasible

    虹膜定位中既分析了前人的一些演算法，指出演算法中的不足，又結合數學形態學和hough變換等理論提出兩種新的虹膜定位方法；虹膜特徵提取演算法中，研究了daugman對虹膜紋理的粗量化和編碼，康浩等在daugman基礎上的改進演算法， muron等人的利用虹膜二元模型的傅立葉光譜分佈特徵進行識別以及boles的基於小波變換的虹膜識別演算法等，比較出各個演算法的優缺點，並且在boles的研究基礎上進行了改進，經實驗證明該方法可行。
  15. Based on the different applications of iris recognition and iris diagnosis, this paper studies the iris feature from textural pattern and structural pattern

    基於虹膜身份識別和虹膜診斷的不同應用領域，本文從虹膜圖像的紋理和結構兩方面入手，對虹膜圖像的特徵進行了詳細的分析。
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