生物特徵識別 的英文怎麼說

中文拼音 [shēngwùtèzhǐzhìbié]
生物特徵識別 英文
medical biometrics
  • 生 : Ⅰ動詞1 （生育; 生殖） give birth to; bear 2 （出生） be born 3 （生長） grow 4 （生存; 活） live;...
  • 物 : 名詞1 （東西） thing; matter; object 2 （指自己以外的人或與己相對的環境） other people; the outsi...
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 徵 : 名詞[音樂] （古代五音之一 相當于簡譜的「5」） a note of the ancient chinese five tone scale corre...
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 生物 : living things; living beings; organisms; bios （pl bioi bioses）; biont; thing; life生物材料 biol...
  • 特徵 : characteristic; feature; properties; aspect; trait
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  1. As one of the most important biometrics techniques, the development of palmprint recognition has a significant influence on real world

    作為最重要的生物特徵識別技術之一，掌紋識別方法的開發具有重要的現實意義。
  2. According to the fact that the basic features of apalmprint, including principal lines, wrinkles and ridges, havedifferent resolutions, in this paper we analyze palmprints using amulti - resolution method and define a novel palmprint feature, whichcalled wavelet energy feature, based on the wavelet transform. wef can reflect the wavelet energy distribution of the principal lines, wrinkles and ridges in different directions at different resolutions scales, thus it can efficiently characterize palmprints. this paperalso analyses the discriminabilities of each level wef and, according to these discriminabilities, chooses a suitable weight for each levelto compute the weighted city block distance for recognition. theexperimental results show that the order of the discriminabilities ofeach level wef, from strong to weak, is the 4th, 3rd, 5th, 2nd and 1stlevel

    作為對現有人體生物特徵識別技術的重要補充，掌紋識別有著其獨特的優點：掌紋比指紋含有更多的可區分信息掌紋採集設備的價格比虹膜採集設備的價格要低廉得多掌紋特徵比簽名特徵更為穩定掌紋識別可獲得比人臉識別更高的識別精度掌紋含有獨特的線特徵包括主線和皺褶，這些線特徵具有很強的區分能力，並可以在低解析度圖像中提取出來可以將手掌上的各種特徵融合在一起建立一個高精度的生物識別系統等。
  3. On - line handwriting signature verification is a hot direction of the biometric identity recognition. this paper tries to apply the evolutionary computation theory to on - line handwriting verification

    在線手寫簽名驗證是目前生物特徵識別領域較為熱門的一個方向，論文試圖將演化計算的思想，用於在線簽名驗證。
  4. At present, the overall tendency of software development is constructing object - oriented, network based, distributed and heterogonous application system using distributed component technologies, and dividing the software system into independent components with different functions, which can be platform and programming language independent, and can communicate with each other for collaboration, handwriting - based identification recognition is an important research field of biometric identification, and also an active topic in computer vision and pattern recognition

    目前，軟體開發的整體趨勢是採用分散式組件技術建立面向對象的、基於網路的、分佈的和異構的大規模應用系統，把整個軟體系統劃分為一個個相互獨立的組件，每個組件完成特定的功能，可以跨越多種操作平臺，獨立於程序設計語言，並且相互通信，協同完成工作。筆跡鑒別是人體生物特徵識別中的一個重要研究領域，也是計算機視覺和模式識別領域研究的熱點問題。
  5. 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。
  6. Face recognition from images is an important subject in computer vision research and has recently received a substantial amount of attention due to its potential application to biometrics identification systems

    人臉辨識是電腦視覺研究中相當重要的領域，近年來由於生物特徵識別系統的需求日殷，使得人臉辨識之研究更受重視。
  7. However, gait is a relatively new and emergent behavioral biometric, and gait recognition has received growing interest within the computer vision community recently, is currently the active research topic in the domain of visual analysis of human motion

    盡管如此，步態識別作為生物特徵識別技術中的一個新興領域，目前引起了視覺研究者的濃厚興趣，成為近年來計算機視覺領域中備受關注的前沿方向，是人運動視覺分析的重要內容。
  8. Today, with the rapid development of information and internet all over the world, information security is extraordinarily important, especially, personal identification technology. because biological feature identification technology has unique stability, uniqueness and convenience, it is applied more and more broadly

    當今社會高度信息化網路化，信息安全顯示出前所未有的重要性，身份鑒定技術具有非常重要的應用價值，生物特徵識別技術以其特有的穩定性、唯一性和方便性，得到越來越廣泛地應用。
  9. The automated passenger clearance and automated vehicle clearance systems aim to revolutionise the immigration clearance processes at control points by leveraging the smart identity card and biometrics verification technologies with a view to enhancing the overall passenger and vehicle throughput

    設立旅客自助出入境檢查和車輛司機自助出入境檢查這兩個系統的目的，是要充分利用智能身份證和生物特徵識別技術，改革各管制站的出入境檢查程序，以提升管制站的旅客和車輛整體處理量。
  10. The automated passenger clearance ( apc ) and automated vehicle clearance ( avc ) systems aim to revolutionise the immigration clearance processes at control points by leveraging the smart identity card and biometrics verification technologies with a view to enhancing the overall passenger and vehicle throughput. these systems support self - service immigration clearance for smart identity card holders

    設立旅客自助出入境檢查和車輛司機自助出入境檢查這兩個系統的目的，是要充分利用智能身份證和生物特徵識別技術，改革各管制站的出入境檢查程序，以提升管制站的旅客和車輛整體處理量。
  11. 7. the automated passenger clearance and automated vehicle clearance systems aim to revolutionise the immigration clearance processes at control points by leveraging the smart identity card and biometrics verification technologies with a view to enhancing the overall passenger and vehicle throughput

    7 .設立旅客自助出入境檢查和車輛司機自助出入境檢查這兩個系統的目的，是要充分利用智能身份證和生物特徵識別技術，改革各管制站的出入境檢查程序，以提升管制站的旅客和車輛整體處理量。
  12. Face and fingerprint personal identification systems are two convienent, reliable and stable identification ways which are widely studied and applied

    人臉識別和指紋識別作為兩種最常用和方便的生物特徵識別技術，已廣泛應用於身份識別等領域。
  13. Key technique of biological feature recognition

    生物特徵識別中的關鍵技術與發展趨勢
  14. Iris identification technology is a biological characteristic identification technology with the lowest error reception rate and the lowest error refusal rate. it differentiates accuracy from error of identification by collecting iris image, abstracting features and matching features

    1885年， alphonsebertillon將利用生物特徵識別個體的思路應用在巴黎的刑事監獄中，當時所用的生物特徵包括:耳朵的大小，腳的長度、虹膜等。
  15. The traditional personal authentication methods cannot keep up with the requirements of the society because of their inherent defects. under such circumstance, biometrics emerged as the time requires

    傳統的身份識別方法由於其自身固有的缺點已經不能滿足社會發展的要求，生物特徵識別技術應運而生。
  16. Biometrics uses a measurable, physical characteristic or personal behavioral trait to recognize the identity, or verify the claimed identity, of an individual

    生物特徵識別技術是利用個人獨特的生理或行為特徵來進行身份識別的一門技術。
  17. An accurate automatic personal identification is critical in a wide range of application domains such as internet security, automated banking, residence safeguard, health care and electronic commerce etc. biometrics identifies an individual based on her physiological or behavioral characteristics such as face, fingerprint, iris, dna and voice etc. with its unique advantages, automatic fingerprint identification has become one of the most reliable biometric technologies

    在網路安全、金融、安防、醫療以及電子商務等諸多應用領域都有著身份認證的強烈需要。與此相關的生物特徵識別技術日益受到人們的重視。這種技術根據人體自身的特徵如人臉、指紋、視網膜、 dna 、聲音等來識別個人的身份。
  18. Iris recognition is a new kind of biological characteristic recognition

    虹膜識別技術是一種新興的生物特徵識別技術。
  19. Compared with the other biological characteristic recognitions ( fingerprint recognition, facial recognition voice recognition, etc. ), iris recognition has the following characteristics : stability, high reliability, non - contact

    它與其他生物特徵識別技術（指紋識別，面部識別，聲音識別等）相比具有以下幾個特點:穩定性、高可靠性和非接觸性。
  20. Automated face recognition is an important part of biometrics. it is one of the most active and challenging tasks for computer vision and pattern recognition

    人臉自動識別技術是生物特徵識別技術的重要組成部分，是計算機視覺與模式識別領域中非常活躍的課題。
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