採集指紋 的英文怎麼說

中文拼音 [cǎizhǐwén]
採集指紋 英文
get fingerprints
  • : gatherassemblecollect
  • : 指構詞成分。
  • : 名詞(花紋; 紋縷兒) lines; veins; grain
  • 採集 : gather; collect
  • 指紋 : 1 (手指上的紋理) loops and whorls on a finger2 (指紋留下的痕跡) fingerprint; dactylogram; fin...
  1. 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、虹膜、臉像等生物生理特徵相比,步態具有難于隱藏和偽裝、便於和遠距離低解析度識別等優點。
  2. It is very important for minutia extraction in afit ( automatic fingerprint identification technology ) based on minutia matching. the fingerprint image always has much noise and can not be adapted to extract minutia directly, so pre - processing of fingerprint image to get a point - line image is an important part of afit domain

    細節特徵點的準確提取在基於細節特徵點匹配的自動識別技術中十分重要,然而由於各種噪聲的影響,使得所圖像質量比較差,並不適合直接用來提取細節特徵點,所以對圖像進行預處理以獲得清晰的點線圖是自動識別研究領域的一個重要組成部分。
  3. 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,掌識別有著其獨特的優點:掌含有更多的可區分信息掌設備的價格比虹膜設備的價格要低廉得多掌特徵比簽名特徵更為穩定掌識別可獲得比人臉識別更高的識別精度掌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。
  4. Practical design of live fingerprint capturing set for police

    警用活體儀的實用設計
  5. This article analyses the characteristic of fingerprint image and brings forward some reasonable supposes which related to the fingerprint image after i collected and analyzed many articles of others that is related to the fingerprint image processing and has published in the resent years. based on these characteristic and supposes, i developed a set of fingerprint image processing arithmetic that are adapt to the fingerprint image gathered by capacitive solid - state device. these include several steps

    作者收和分析了近年來大量的國內外的關于圖像處理技術的學術文獻基礎上,分析了圖像的特性,提出了對圖像的一些合理的假設,並從這些假設出發,提出了一套適用於電容式傳感器圖像的處理演算法,這些演算法包括圖像的有效區域提取、圖像的質量分析、圖像的分割、圖像濾波、二值圖像的細化、特徵點的提取、特徵點的可靠性分析、圖像的點模式匹配等步驟。
  6. Most afis are composed of four parts : fingerprint acquisition, preprocessing, features extraction and features matching

    大部分識別系統可分為4個步驟:,預處理、特徵提取和特徵匹配。
  7. The team paired fungal samples in petri dishes to see if they fused ( see photo below ), a sign that they were from the same genetic individual, and used dna fingerprinting to determine where one individual fungus ended

    他們了一些樣品,與實驗室培養的真菌比對,看它是否由多個相同的個體組成,並用dna技術分析它的遺傳性質,確定組成它的每個成員的大小。
  8. Fingerprint collector for collection

    器可選:
  9. A project of authentication based on fingerprint feature data is studied : in this project, the first step is to sample the fingerprint of people and extraction its feature data through secugen hamster ( which is a kind of fingerprint sample device ), then embed the fingerprint feature data into the image ( both 256 gray - scale images and 24 bit color images ). during the identification course, match the fingerprint feature data sampling from the secugen hamster with that of picked

    研究了一種基於特徵數據水印演算法的身份識別方案:結合secugen系列儀,將圖像進行特徵提取,最後將特徵信息嵌入到宿主圖像( 256色或24位彩色圖像) 。在識別過程中,將信息和從圖像中提取的特徵信息進行比對,如果比對成功,則可以確認其身份合法,否則,就是非法者。
  10. 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。
  11. In the pretreatment, we mend image by gray - level and direction - raph filtering. the program we proposed, without binarization and thinning, has high rapidity and saves a lot of calculation time

    預處理時,先對進行灰度濾波,然後再通過計算塊方向圖對進行方向圖濾波,從而實現灰度修補。
  12. Honey, what are you doing ? - i ' m dusting for prints

    親愛的你在幹什麼?我在採集指紋
  13. - honey, what are you doing ? - i ' m dusting for prints

    親愛的你在幹什麼?我在採集指紋
  14. In addition we must fingerprint and photograph all non us citizens

    對于所有非美籍公民者,必須採集指紋及照相。
  15. Product introduction a5 is a standalone fingerprint t a system. it is built in linux operation system and dp uru4000 sensor. the identification speed is fast and ffr and far are low

    產品介紹a5專業型考勤機用2005版混合式引擎識別演算法,可儲存1500枚, 50000條紀錄,用u . are . u採集指紋識別質量明顯提升。
  16. F4plus adopts american u. are. u sensor to collect the fingerprint images, the quality of the fingerprint identification is improved obviously, with zk multi - engine biokey algorithm, the identification speed increased 1. 5 times as before, it can deal with 2000 qualified or unqualified average distributed fingerprints, it makes the system easy to operate, reliability, accuracy are all improved

    該產品用美國u . are . u採集指紋識別質量明顯提升。用中控科技最新的多引擎biokey識別演算法,速度提高1 . 5倍,可在3秒內處理2000枚好壞均勻分佈的,使系統易用性可靠性準確性識別速度都有明顯提高。
  17. Fingerprint verification module is responsible of acquiring fingerprint - images, pretreating, extracting minutia and putting minutia vector into database by scheduled flight

    模塊負責的活體,並對其進行預處理和特徵提取,將其特徵向量按航班存入庫。
  18. There are amount of noises in the collected fingerprint gray - scale images. but fingerprint recognition techniques at most degree depend on the quality of the finger print image. it is necessary to filter the fake information of fingerprint image

    到的灰度圖像中含有大量噪聲,而識別技術在很大程度上依賴于圖像的質量,所以對圖像中的偽信息要加以濾除。
  19. Due to the uniqueness and invariability of fingerprints, the automated fingerprint identification is becoming an attractive alternative to the traditional identification methods. these years, afis is applied more and more aspects in our daily life with the development of computer technology, the appearance of cheap fingerprint sensors and effective algorithms

    近年來,計算機技術的飛速發展、低價位儀的出現以及高可靠演算法的實現,更使得自動識別技術越來越多的進入到人們的生活和工作中,自動識別系統的研究和開發正在成為國內外學術界和商業界的熱點。
  20. Face recognition system is friendly and has the currency device, but the recognizing rate is relatively low. the recognizing rate of fingerprint recognition is relatively high, but the device for catching the fingerprint image is special, and the working speed is slow especially for the big data - base

    人臉識別系統具有友好、設備通用的優點,但其識別率較低;識別識別率較高,但圖像需要專用設備,而且識別速度較慢,尤其是對于大型數據庫。
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