指紋分類 的英文怎麼說
中文拼音 [zhǐwénfēnlèi]
指紋分類
英文
dactyloscopy- 指 : 指構詞成分。
- 紋 : 名詞(花紋; 紋縷兒) lines; veins; grain
- 分 : 分Ⅰ名詞1. (成分) component 2. (職責和權利的限度) what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] (料想) judge
- 類 : Ⅰ名1 (許多相似或相同的事物的綜合; 種類) class; category; kind; type 2 (姓氏) a surname Ⅱ動詞...
- 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...
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Third, using singular points and direction image, we class the fingerprint. we dispart four small fields in the center field of the fingerprint image. through the directions of the lines in every small field, we confirm the fingerprint type
基於方向圖分類法中將中心區域的方向圖分為左上,左下,右上和右下四個子區域,根據各子區的紋線走向來確定指紋類型。Essential technical specification of afis part 3 : the fingerprint classification and code
指紋自動識別系統基礎技術規范.第3部分:指紋紋型分類及代碼Experiments show that the face feather and the fingerprint feather is more accurate, more suitable for classify, and decreases the complexity of the algorithm, and improve the accuracy and the operating speed of the multi - biometrics system
實驗表明,本文演算法得到的人臉特徵更有利於人臉分類且計算量大大減小,指紋特徵更為準確且提高了特徵提取速度,同時有利於提高綜合識別系統的準確度和速度。Of the gas. since different gas has different set of lines, we can tell which kind of gas it is by analyzing the line spectrum
不同的氣體會產生不同的線條,就如人類的指紋,只要分析光譜上的吸收線,便可以知道光波曾經通過的氣體成分。A fingerprint verification algorithm based on fingerprint classification
一種基於指紋分類的指紋識別演算法Classification approach of half - region fingerprint based on orientation field
基於方向場的半區域指紋分類方法We propose synergetic classification based on the study of synergetic pattern recognition
其中,協同指紋分類演算法是我們討論的重點。Fingerprint classification provides indexing mechanism for a large fingerprint database
指紋分類技術為大型指紋數據庫提供了一種重要的索引機制。( 5 ) a fingerprint classification method based on singular points and central symmetrical axis is presented and realized
( 5 )給出並實現了基於奇異點和指紋中心對稱軸的指紋分類方法。In this thesis, two key technologies of fingerprint recognition system are discussed : fingerprint classification and fingerprint matching
本文的主要研究內容正是指紋識別系統中的兩個關鍵技術:指紋分類和指紋匹配。We first realize the classical fingerprint classification algorithm based on directional field and analyze the experiment data
我們首先研究和實現了目前較為常用的基於方向場計算的指紋分類演算法,並結合實際指紋給出了實驗及其分析。An automatic fingerprint classification algorithm classifies a fingerprint into a number of pre - specified categories according to the features extracted from the fingerprint
指紋分類演算法將輸入指紋歸入到預先規定好的若干大類中。And then we propose two novel classification algorithms : k - cluster algorithm and synergetic fingerprint classification algorithm. here the second one is our main point
隨后,提出了兩種新的分類演算法: k ?均值聚類演算法和協同指紋分類演算法。Experimental results show that our algorithm is capable of correctly and robustly extracting singular point, rapidly and efficiently performing fingerprint classification
實驗結果表明,我們的演算法提取指紋奇異點準確可靠,並能迅速有效地執行指紋分類。Fingerprint classification based on direction image
基於方向圖的指紋模式分類研究We proposed an improved fingerprint classification algorithm. it receives better result on loop fingerprint with ridge tracing
提出了一種改進的分類演算法,並使用脊線跟蹤提高了判別左箕、右箕類指紋的準確率。Were studied together with the reference strains of recognized rhizobium and bradyrhizobiwn species by performing polyphasic taxonomy, including numerical taxonomy, rep - pcr fingerprinting, 16s rdna pcr - rflp. the result show that : the growth rate of rhizobia isolated from the root nodules of pueraria spp. showed great diversity. ccbau41147 ccbau6110 k ccbau61096 and ccbau61095 were fast - growing strains, the single colony size was bigger than 1mm after 2 days incubated oq yma medium at 28 they can produce acid. the other strains were slow - growing strains, their single colony size was less than 1 mm after 7 days incubated on yma medium at 28. they can produce alkali
本研究以從我國四川、河南、安徽和湖南等地分離的32株葛藤根瘤菌為研究對象,以20株已知種的根瘤菌為參比菌株,採用數值分類、 rep - pcr指紋分析、 16srdnapcr - rflp指紋分析等現代根瘤菌分類技術,初步研究了葛藤根瘤菌的生物多樣性和分類地位,結果表明:葛藤根瘤菌在生長速率上表現出多樣性,菌株ccbau41147 、 ccbau61096 、 ccbau61101和ccbau61095生長較快, yma培養基上28培養2 - 3天後,單個菌落直徑大於1mm ,具有產酸能力,是快生型葛藤根瘤菌;其餘待測葛藤根瘤菌生長較慢, yma培養基上28培養7天後,單個菌落直徑小於1mm ,具有產堿能力,是慢生型葛藤根瘤菌。( introduce the conception and examples of the digital fingerprinting simply, explain the terms in common use, summarize the results of the research, analyze and discuss the strongpoint and shortcoming of all kinds of fingerprinting scheme
(簡要地介紹數字指紋概念及指紋的例子,解釋了一些常用的相關術語,對現有的研究成果進行了全面總結,分析、討論了各類數字指紋技術的優缺點。This new method is used to solve the five - class fingerprint classification problem in which fingerprints are classified into whorl, left loop, right loop, arch and tented arch and satisfactory results are got hi the experiments
將演算法的驗證與指紋分類問題的解決相結合,本文將指紋分為斗形、左旋、右旋、弓形、帳形五大類,初步的實驗顯示出了較好的分類結果。Because the police fingerprint database is very large and the fingerprint image is often noisy, we paid more efforts on extraction of singular point from the noisy image and improve the fingerprint classification speed. we have obtained some result in the following research areas : 1 ) fingerprint extraction. we extract fingerprint image by two steps : coarse extraction and fine extraction
針對公安指紋數據庫樣本數量多(一般都在萬枚以上) ,指紋圖象質量相對比較差的特點,我們把研究重點放在從差質量的指紋圖中準確可靠地提取奇異點特徵以及提高分類速度上,並在以下幾個方面取得了一定的研究成果: 1 )指紋分割。分享友人