Zobrazeno 1 - 10
of 130
pro vyhledávání: '"Jufu Feng"'
Publikováno v:
PLoS ONE, Vol 10, Iss 3, p e0118910 (2015)
Establishing correspondences between two minutia sets is a fundamental issue in fingerprint recognition. This paper proposes a new tensor matching strategy. First, the concept of minutia tensor matrix (simplified as MTM) is proposed. It describes the
Externí odkaz:
https://doaj.org/article/cea0e87e58484ae5965492399531217b
Publikováno v:
2022 IEEE International Joint Conference on Biometrics (IJCB).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f6b449b4ff2e478750656bcd6d98bc6
https://doi.org/10.1109/ijcb54206.2022.10007996
https://doi.org/10.1109/ijcb54206.2022.10007996
Publikováno v:
Neurocomputing. 438:1-13
Orientation field is the key foundation of palmprint feature extraction and recognition. However, due to the presence of numerous wide creases, the palmprint orientation field can hardly be accurately estimated by previous methods, especially in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4ddc8c3b174230152b1c075efdfb2b5
https://doi.org/10.1016/j.neucom.2021.01.049
https://doi.org/10.1016/j.neucom.2021.01.049
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031023743
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d9654033a6b103accae8aae5fd7bd58
https://doi.org/10.1007/978-3-031-02375-0_34
https://doi.org/10.1007/978-3-031-02375-0_34
Publikováno v:
Pattern Recognition. 88:397-408
Most current fingerprint indexing systems are based on minutiae-only local structures and index local features directly. For minutiae local structure, missing and spurious neighboring minutiae significantly degrade the retrieval accuracy. To overcome
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee043aeffd569367bfd4707b2d9e903f
https://doi.org/10.1016/j.patcog.2018.11.018
https://doi.org/10.1016/j.patcog.2018.11.018
Publikováno v:
Pattern Recognition Letters. 119:139-147
On mobile devices, the limited area of fingerprint sensors brings demand of partial fingerprint matching. Existing fingerprint authentication algorithms are mainly based on handcrafted features, such as minutiae topological structure and ridge patter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12541572b6f6128f8be65e13706dad3c
https://doi.org/10.1016/j.patrec.2017.09.014
https://doi.org/10.1016/j.patrec.2017.09.014
Publikováno v:
Neurocomputing. 239:58-68
The sparse representation with auxiliary dictionary based face recognition methods have achieved significant performance in recent years. The prevailing auxiliary dictionary based methods use training dictionary and auxiliary dictionary to separate f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a3baa00b12549a926aca22eb7ddbd36
https://doi.org/10.1016/j.neucom.2017.01.082
https://doi.org/10.1016/j.neucom.2017.01.082
Publikováno v:
Science China Information Sciences. 62
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f7d4d47260c15e1c32ae82d68ddeeb7
https://doi.org/10.1007/s11432-019-9930-4
https://doi.org/10.1007/s11432-019-9930-4
Publikováno v:
ICB
Robust fingerprint enhancement algorithm is crucial to latent fingerprint recognition. In this paper, a latent fingerprint enhancement model named cooperative orientation generative adversarial network (COOGAN) is proposed. We formulate fingerprint e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f7f59ac668814c630933786a6214d8d
https://doi.org/10.1109/icb45273.2019.8987356
https://doi.org/10.1109/icb45273.2019.8987356
Publikováno v:
ICB
Learning fingerprint representations is of critical importance in fingerprint indexing algorithms. Convolutional neural networks (CNNs) provide fingerprint features that perform remarkably well. In previous CNN based methods, global fingerprint featu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a2a4b57568160a77df9ceeffde4bfb2
https://doi.org/10.1109/icb45273.2019.8987387
https://doi.org/10.1109/icb45273.2019.8987387