標題: Titlebook: Handbook of Fingerprint Recognition; Davide Maltoni,Dario Maio,Jianjiang Feng Book 2022Latest edition Springer Nature Switzerland AG 2022 [打印本頁] 作者: Optician 時間: 2025-3-21 20:01
書目名稱Handbook of Fingerprint Recognition影響因子(影響力)
書目名稱Handbook of Fingerprint Recognition影響因子(影響力)學科排名
書目名稱Handbook of Fingerprint Recognition網(wǎng)絡公開度
書目名稱Handbook of Fingerprint Recognition網(wǎng)絡公開度學科排名
書目名稱Handbook of Fingerprint Recognition被引頻次
書目名稱Handbook of Fingerprint Recognition被引頻次學科排名
書目名稱Handbook of Fingerprint Recognition年度引用
書目名稱Handbook of Fingerprint Recognition年度引用學科排名
書目名稱Handbook of Fingerprint Recognition讀者反饋
書目名稱Handbook of Fingerprint Recognition讀者反饋學科排名
作者: 不利 時間: 2025-3-21 22:49 作者: 藐視 時間: 2025-3-22 03:23 作者: FRAUD 時間: 2025-3-22 06:01 作者: venous-leak 時間: 2025-3-22 10:30
https://doi.org/10.1007/978-3-658-30309-9 as well as sensing elements for mobile devices. Factors that determine the quality of the sensing device and the resulting fingerprint image are explained, and the most common Image Quality Specifications (IQS) used for sensor certification are reviewed.作者: 無法解釋 時間: 2025-3-22 15:12 作者: 眨眼 時間: 2025-3-22 19:05
Robert Wischer,Hans-Ulrich Riethmüller(i) first generate a master fingerprint and then derive multiple impressions (e.g., SFinGe); (ii) generative models (e.g., GAN) for the direct synthesis of fingerprint images. Validation of synthetic generators through large scale experiments is finally presented.作者: 廣大 時間: 2025-3-22 21:46 作者: 柔軟 時間: 2025-3-23 05:21
Werner Hecker,Carsten Lau,Arno Müllerques. Template protection techniques are then reviewed by focusing on feature transformations, biometric cryptosystems, and feature adaptions. Recent approaches such as homomorphic encryption of fixed-length representations are introduced, and the chapter concludes with a discussion on current challenges and open issues.作者: 英寸 時間: 2025-3-23 08:01 作者: ALERT 時間: 2025-3-23 09:48
Fingerprint Analysis and Representation,icular emphasis is given to robust feature extraction algorithms, trained on large corpuses of real or synthetic data, that can reliably operate on images of various quality encountered in applications.作者: 揉雜 時間: 2025-3-23 15:35
Fingerprint Synthesis,(i) first generate a master fingerprint and then derive multiple impressions (e.g., SFinGe); (ii) generative models (e.g., GAN) for the direct synthesis of fingerprint images. Validation of synthetic generators through large scale experiments is finally presented.作者: Firefly 時間: 2025-3-23 18:38 作者: 難理解 時間: 2025-3-24 01:48
Securing Fingerprint Systems,ques. Template protection techniques are then reviewed by focusing on feature transformations, biometric cryptosystems, and feature adaptions. Recent approaches such as homomorphic encryption of fixed-length representations are introduced, and the chapter concludes with a discussion on current challenges and open issues.作者: 狗窩 時間: 2025-3-24 03:03 作者: reperfusion 時間: 2025-3-24 09:59
Fingerprint Classification and Indexing,ethods or multi-stage matching. Details are provided on minutiae-based and deep learning-based indexing approaches. A systematic comparison of existing techniques on well-known benchmarks in finally presented.作者: 從容 時間: 2025-3-24 12:37 作者: 兩種語言 時間: 2025-3-24 17:29
Latent Fingerprint Recognition,ues enabling fully automatic (or lights-out operation) processing of latent fingerprints, focusing on recent deep learning-based feature extraction and matching approaches. Specific sections on latent fingerprint quality and performance evaluation are finally provided.作者: 最高峰 時間: 2025-3-24 22:21
Davide Maltoni,Dario Maio,Jianjiang FengUsing the successful formula of previous editions, the book includes recent state-of-the-art techniques.Covers all the major topics, concepts and methods for fingerprint security systems.Contains help作者: Bureaucracy 時間: 2025-3-25 02:36 作者: 重畫只能放棄 時間: 2025-3-25 06:39
https://doi.org/10.1007/978-3-030-83624-5Performance; Classification; Fingerprint; Fingerprint Matching; Fingerprint Recognition; Fingerprint Sens作者: cruise 時間: 2025-3-25 10:57
978-3-030-83626-9Springer Nature Switzerland AG 2022作者: 大雨 時間: 2025-3-25 11:52 作者: 箴言 時間: 2025-3-25 16:03 作者: Conducive 時間: 2025-3-25 20:13
Zukunftsmanagement für den Mittelstandons are dedicated to explain the most effective approaches for segmentation, local orientation and frequency extraction, singularity detection and pose estimation, image enhancement, and minutiae and pore detection. The computation of global and local fingerprint image quality is also reviewed. Part作者: 小教堂 時間: 2025-3-26 02:59 作者: monopoly 時間: 2025-3-26 05:13
https://doi.org/10.1007/978-3-658-10783-3clusive classification techniques are first reviewed and their limitations are pointed out. The focus is then shifted to more commonly used indexing methods or multi-stage matching. Details are provided on minutiae-based and deep learning-based indexing approaches. A systematic comparison of existin作者: PLE 時間: 2025-3-26 10:04
https://doi.org/10.1007/978-3-662-64902-2 fingerprints have been (and still often are) processed semi-automatically; a latent print examiner marks the minutiae in latent prints, followed by an automatic search on an AFIS. This procedure is time-consuming and subjective, which limits both the efficiency and efficacy of identifying the suspe作者: JOT 時間: 2025-3-26 16:41 作者: Antecedent 時間: 2025-3-26 18:02
https://doi.org/10.1007/978-3-322-90582-6 particularly in forensic applications when a suspect is tried for conviction in a court of law. This has generated interest in designing fingerprint individuality models which will quantify the evidential value of fingerprints. This chapter introduces both theoretical and empirical studies on finge作者: 核心 時間: 2025-3-26 23:24
Werner Hecker,Carsten Lau,Arno Müller to the different types of attacks that can be potentially launched, the chapter presents methods for (fraudulently) obtaining fingerprint data and their countermeasures. The focus is on presentation attack instruments (e.g., spoof fingerprints) and related presentation attack detection (PAD) techni作者: 儀式 時間: 2025-3-27 03:42 作者: 手工藝品 時間: 2025-3-27 06:30 作者: Shuttle 時間: 2025-3-27 10:26 作者: Ferritin 時間: 2025-3-27 17:01 作者: Malleable 時間: 2025-3-27 19:01 作者: Maximize 時間: 2025-3-27 23:46
Latent Fingerprint Recognition, fingerprints have been (and still often are) processed semi-automatically; a latent print examiner marks the minutiae in latent prints, followed by an automatic search on an AFIS. This procedure is time-consuming and subjective, which limits both the efficiency and efficacy of identifying the suspe作者: 赤字 時間: 2025-3-28 02:18
Fingerprint Synthesis, fingerprint recognition algorithms. This approach is particularly useful to deal with emerging privacy regulations (e.g., EU-GDPR) limiting the use of personally identifiable information. This chapter introduces fingerprint synthesis and focuses on the two main categories of generation approaches: 作者: 大氣層 時間: 2025-3-28 10:18 作者: defile 時間: 2025-3-28 11:31
Securing Fingerprint Systems, to the different types of attacks that can be potentially launched, the chapter presents methods for (fraudulently) obtaining fingerprint data and their countermeasures. The focus is on presentation attack instruments (e.g., spoof fingerprints) and related presentation attack detection (PAD) techni作者: JOT 時間: 2025-3-28 17:48 作者: gregarious 時間: 2025-3-28 21:40 作者: Physiatrist 時間: 2025-3-29 01:15
Book 2022Latest editiont fixed-length representations. However, the tiny ridge details in fingerprints known as minutiae are still competitive with the powerful representations learned by huge neural networks trained on big data..Features & Benefits:.Reflects the progress made in automated techniques for fingerprint recog作者: Brittle 時間: 2025-3-29 03:24
