重画只能放弃
发表于 2025-3-25 06:39:11
https://doi.org/10.1007/978-3-030-83624-5Performance; Classification; Fingerprint; Fingerprint Matching; Fingerprint Recognition; Fingerprint Sens
cruise
发表于 2025-3-25 10:57:15
978-3-030-83626-9Springer Nature Switzerland AG 2022
大雨
发表于 2025-3-25 11:52:22
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箴言
发表于 2025-3-25 16:03:01
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Conducive
发表于 2025-3-25 20:13:29
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
小教堂
发表于 2025-3-26 02:59:53
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monopoly
发表于 2025-3-26 05:13:35
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
PLE
发表于 2025-3-26 10:04:40
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
JOT
发表于 2025-3-26 16:41:11
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Antecedent
发表于 2025-3-26 18:02:26
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