作者: PHIL 時間: 2025-3-21 23:08
https://doi.org/10.1007/b97425algorithms; biometrics; classification; cognition; filter design; fingerprint; fingerprint matching; finger作者: ordain 時間: 2025-3-22 03:45
978-1-4419-3069-9Springer Science+Business Media New York 2004作者: 假裝是你 時間: 2025-3-22 07:43 作者: abnegate 時間: 2025-3-22 09:51
Robin Matross Helms,Laura E. Rumbleysability needed for fingerprint identification to become a ubiquitous part of our everyday information and communication devices. The topic is introduced with a brief review of the many techniques available for acquiring fingerprint images and then reviews the history of direct electronic fingerprin作者: 不要嚴(yán)酷 時間: 2025-3-22 13:27
International Networks and Consortia acquisition from each individual should provide useful information for personal identity verification or recognition. In other words, everybody should have the biometrics and it should be easy to sample or acquire. In practice, adverse signal acquisition conditions and inconsistent presentations of作者: Baffle 時間: 2025-3-22 18:41 作者: Terrace 時間: 2025-3-23 00:29
https://doi.org/10.1007/0-387-30528-9ve local properties such as ridge orientation and ridge spacing that are well defined in the neighborhood of each point but vary continuously over the image. They are there-fore ideal candidates for anisotropic filtering, which is able to adapt to the changing values of these position-dependent loca作者: 使?jié)M足 時間: 2025-3-23 03:05
Michael Grant,Stephen Boyd,Yinyu Yeency filter corresponding to ridge frequencies and a direction filter corresponding to ridge directions on the basis of fingerprint ridge characteristics. An energy function for selecting image features (i.e., frequencies and directions) is defined by power of images obtained with the above filters 作者: 壁畫 時間: 2025-3-23 05:56 作者: arcane 時間: 2025-3-23 13:39 作者: ARIA 時間: 2025-3-23 14:01 作者: 盟軍 時間: 2025-3-23 19:12 作者: Assemble 時間: 2025-3-24 01:30 作者: Interim 時間: 2025-3-24 02:35
https://doi.org/10.1007/978-3-662-03199-5veral elastic distorted variations of the fingerprint into a single matched filter. The three techniques tested for making the distortion-tolerant filters are averaging, synthetic discriminate function, and minimum average noise and correlation plane energy filters. A data set containing 200 fingers作者: CRAFT 時間: 2025-3-24 09:46
Successive Approximation Methodsreprocessing for minutiae matching, the preselection reduces minutiae matching candidates. Eigenfeatures and confidence factors are extracted for the preselection from the fingerprints in the 10-print cards. The eigenfeatures are calculated by the KL (Karhunen-Loève) expansion of the ridge direction作者: Exposition 時間: 2025-3-24 13:48
https://doi.org/10.1007/978-3-662-03199-5ting, and operational support. Testing these systems includes the complex activity of measuring the system’s performance. The desired system performance, however, affects each of the system’s engineering functions. For large-scale systems, estimating the performance of the full-scale operational sys作者: allude 時間: 2025-3-24 16:14 作者: 增強 時間: 2025-3-24 19:40 作者: mastopexy 時間: 2025-3-25 00:47
https://doi.org/10.1007/978-1-4614-3927-1ently, this evidence has been accepted by the courts as infallibly accurate. We review four kinds of available data about the accuracy of fingerprint comparisons made by human latent fingerprint examiners: anecdotal FBI data; published data on the accuracy of consensus fingerprint comparisons made b作者: Indecisive 時間: 2025-3-25 04:42
Unconstrained Global Optimization,ch in some countries prohibits the diffusion of such personal information. This chapter describes the SFINGE (acronym for Synthetic FINgerprint GEnerator) approach, developed by the BIOLAB team, which can be used to create, at zero cost, large fingerprint databases. The synthesis of each master fing作者: 詞匯記憶方法 時間: 2025-3-25 10:46 作者: 其他 時間: 2025-3-25 14:37 作者: 贊美者 時間: 2025-3-25 17:57 作者: 尾隨 時間: 2025-3-25 21:05
History of Fingerprint Pattern Recognition,print classification systems of Vucetich and Henry in the 1890s through the advent of automated fingerprint identification. By chronicling the history of “manual” systems for recording storing, matching, and retrieving fingerprints, the article puts advances in automatic fingerprint recognition in h作者: 針葉樹 時間: 2025-3-26 01:23 作者: atopic 時間: 2025-3-26 07:00
Fingerprint Quality Assessment, acquisition from each individual should provide useful information for personal identity verification or recognition. In other words, everybody should have the biometrics and it should be easy to sample or acquire. In practice, adverse signal acquisition conditions and inconsistent presentations of作者: mutineer 時間: 2025-3-26 11:20 作者: PRO 時間: 2025-3-26 12:55 作者: scoliosis 時間: 2025-3-26 18:37
Image Filter Design for Fingerprint Enhancement,ency filter corresponding to ridge frequencies and a direction filter corresponding to ridge directions on the basis of fingerprint ridge characteristics. An energy function for selecting image features (i.e., frequencies and directions) is defined by power of images obtained with the above filters 作者: ANTE 時間: 2025-3-26 21:12
Fingerprint Enhancement,t widely used technique to achieve such a goal. In this chapter, we describe (1) a spatial domain filtering enhancement algorithm and (2) a frequency decomposition enhancement algorithm. Both algorithms are able to adaptively improve the clarity of ridge and valley structures based on the local ridg作者: MANIA 時間: 2025-3-27 04:18 作者: Substance 時間: 2025-3-27 08:22 作者: Critical 時間: 2025-3-27 11:20 作者: 空氣 時間: 2025-3-27 16:01 作者: 引起 時間: 2025-3-27 20:31 作者: DEFT 時間: 2025-3-27 23:43
Fingerprint Preselection Using Eigenfeatures for a Large-Size Database,reprocessing for minutiae matching, the preselection reduces minutiae matching candidates. Eigenfeatures and confidence factors are extracted for the preselection from the fingerprints in the 10-print cards. The eigenfeatures are calculated by the KL (Karhunen-Loève) expansion of the ridge direction作者: 被告 時間: 2025-3-28 05:26 作者: Cytology 時間: 2025-3-28 06:17
Multifinger Penetration Rate and ROC Variability for Automatic Fingerprint Identification Systems,ecords, but little is known about these issues. In this paper, we report on experiments done with the best algorithms from six major AFIS vendors tested using a 4128 × 4080 database of electronically collected flat prints. We obtain Receiver Operating Characteristic curves for thumb through ring fin作者: 使絕緣 時間: 2025-3-28 11:03
Latent Fingerprint Analysis Using an AM-FM Model,n captures, in a very natural way, the global flow of fingerprint patterns. Discontinuities in this flow are easily detectable as potential fingerprint minutiae. We demonstrate application of an AM-FM-based system to actual latent fingerprints and make comparison to expert human analysis.作者: cluster 時間: 2025-3-28 17:42
Error Rates for Human Latent Fingerprint Examiners,ently, this evidence has been accepted by the courts as infallibly accurate. We review four kinds of available data about the accuracy of fingerprint comparisons made by human latent fingerprint examiners: anecdotal FBI data; published data on the accuracy of consensus fingerprint comparisons made b作者: invade 時間: 2025-3-28 21:39
Generation of Synthetic Fingerprint Image Databases,ch in some countries prohibits the diffusion of such personal information. This chapter describes the SFINGE (acronym for Synthetic FINgerprint GEnerator) approach, developed by the BIOLAB team, which can be used to create, at zero cost, large fingerprint databases. The synthesis of each master fing作者: cutlery 時間: 2025-3-28 22:57
Fingerprint Image Compression and the Wavelet Scalar Quantization Specification,nts of those images. In response to this need, the FBI developed a fingerprint compression specification, called the wavelet scalar quantization (WSQ). As the name suggests, the specification is based on wavelet compression. In this chapter, we review the WSQ specification and discuss its most impor作者: faddish 時間: 2025-3-29 04:23
Fingerprint Quality Assessment,r for seeking a better representation of the signal or for subjecting the poor signal to alternative methods of processin g (e.g., enhancement [9]). In this chapter,. we explore a definition of the quality of fingerprint impressions and present detailed algorithms to measure image quality. The propo作者: 洞穴 時間: 2025-3-29 10:01 作者: fluoroscopy 時間: 2025-3-29 13:47 作者: coagulate 時間: 2025-3-29 17:14
Feature Extraction in Fingerprint Images,fingerprint image be transformed into a minutiae map. This transformation generally includes the following steps: preprocessing, ridge direction and ridge width, enhancement, and minutiae detection. This chapter discusses several approaches for extracting the fingerprint feature maps from the spatia作者: 收到 時間: 2025-3-29 22:57
Fingerprint Matching,n of different matching algorithms can improve the overall matching performance. Fingerprint matching is a challenging pr oblem due to the large intraclass variation between different impressions of the same finger, noise in the fingerprint images, and small interclass variations in fingerprint imag作者: 磨坊 時間: 2025-3-30 03:07 作者: TRACE 時間: 2025-3-30 07:58
Systems Engineering for Large-Scale Fingerprint Systems,res measurement of missed detection and false-alarm error rates. Two parameters are derived from these erro r rates, . and .. Reliability is the probability that the system will report a matching fingerprint given that one is in the database. Selectivity is the average number of false candidates per作者: GULLY 時間: 2025-3-30 08:21 作者: 記憶法 時間: 2025-3-30 16:04
Generation of Synthetic Fingerprint Image Databases,yed to deal with the distortion resulting by pressing a finger against the flat surface of an online sensor. SFINGE produ ces very realistic fingerprint images, which can be used for training, testing, and optimizing fingerprint recognition algorithms. This approach has been validated by proving tha作者: 乞丐 時間: 2025-3-30 20:12 作者: 鋪子 時間: 2025-3-30 21:34 作者: 勾引 時間: 2025-3-31 04:20
https://doi.org/10.1007/0-387-30528-9cement of images is discussed. A detailed evaluation of the enhancement algorithm in comparison with that contained in a working Automatic Fingerprint Recognition (AFR) system is given..A mathematical model of the fingerprint local ridge orientation as a function of position within the image is deve作者: 芭蕾舞女演員 時間: 2025-3-31 05:59 作者: Ibd810 時間: 2025-3-31 10:01
Lipschitz and Continuous Optimizationn of different matching algorithms can improve the overall matching performance. Fingerprint matching is a challenging pr oblem due to the large intraclass variation between different impressions of the same finger, noise in the fingerprint images, and small interclass variations in fingerprint imag作者: 輕推 時間: 2025-3-31 16:28
Successive Approximation Methodsds is approximately 90 and is 10. times faster than minutiae matching computation. This preselection scheme en ables the realization of fingerprint identification systems of high computational performance.作者: 幸福愉悅感 時間: 2025-3-31 18:13
https://doi.org/10.1007/978-3-662-03199-5res measurement of missed detection and false-alarm error rates. Two parameters are derived from these erro r rates, . and .. Reliability is the probability that the system will report a matching fingerprint given that one is in the database. Selectivity is the average number of false candidates per作者: 使困惑 時間: 2025-4-1 00:13 作者: 倒轉(zhuǎn) 時間: 2025-4-1 04:14 作者: sed-rate 時間: 2025-4-1 09:06
Book 2004 Covers numerous areas related to modernautomatic fingerprint recognition, not just its history or forensic analysis..* Examines advances in fingerprint sensing and fingerprint image filtering and preprocessing ...?* Describes fingerprint feature abstraction, as well as compression and decompression作者: tangle 時間: 2025-4-1 13:23 作者: Externalize 時間: 2025-4-1 14:46 作者: optional 時間: 2025-4-1 18:45
https://doi.org/10.1007/978-3-642-36708-3 of “manual” systems for recording storing, matching, and retrieving fingerprints, the article puts advances in automatic fingerprint recognition in historical context and highlights their historical and social significance.作者: 轉(zhuǎn)向 時間: 2025-4-2 02:43
