Results 21 to 30 of about 314,684 (266)
Fingerprint verification by fusion of optical and capacitive sensors [PDF]
, 2004 A few works have been presented so far on information fusion for fingerprint verification. None, however, have explicitly investigated the use of multi-sensor fusion, in other words, the integration of the information provided by multiple devices to ...
MARCIALIS, GIAN LUCA, ROLI, FABIO
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ACM SIGBioinformatics Record, 2018 Observing the recent progress in Deep Learning, the employment of AI is surging to accelerate drug discovery and cut R&D costs in the last few years. However, the success of deep learning is attributed to large-scale clean high-quality labeled data, which is generally unavailable in drug discovery practices. In this paper, we
Xiaoyu Zhang +5 more
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High-precision indoor wireless positioning method based on generative adversarial network
物联网学报, 2021 Because wireless signals are susceptible to interference during the propagation process, the application of traditional indoor positioning methods in real life is limited.Because location-based fingerprint positioning technology has the advantage of ...
Fuzhan WANG +3 more
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Fingerprint Systems: Sensors, Image Acquisition, Interoperability and Challenges
Sensors, 2023 The fingerprint is a widely adopted biometric trait in forensic and civil applications. Fingerprint biometric systems have been investigated using contact prints and latent and contactless images which range from low to high resolution. While the imaging
Akmal Jahan Mohamed Abdul Cader +2 more
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Magnetic resonance fingerprinting [PDF]
Nature, 2013 Magnetic resonance is an exceptionally powerful and versatile measurement technique. The basic structure of a magnetic resonance experiment has remained largely unchanged for almost 50 years, being mainly restricted to the qualitative probing of only a limited set of the properties that can in principle be accessed by this technique.
Ma, Dan +6 more
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BlockRFC: Real-Time Rolled Fingerprint Construction and Distortion Rectification
IEEE Access, 2020 Compared with a flat fingerprint, the rolled fingerprint has a larger fingerprint area and can be extracted more minutiae. It has high requirements in many fields, not only in the military environment or the police field but also in many civil ...
Yongliang Zhang +5 more
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Neural Networks for Fingerprint Recognition [PDF]
, 1993 After collecting a data base of fingerprint images, we design a neural network algorithm for fingerprint recognition. When presented with a pair of fingerprint images, the algorithm outputs an estimate of the probability that the two images originate ...
Baldi, Pierre, Chauvin, Yves
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IEEE Access, 2019 Latent fingerprint identification is attracting increasing interest because of its important role in law enforcement. Although the use of various fingerprint features might be required for successful latent fingerprint identification, methods based on ...
Danilo Valdes-Ramirez +6 more
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Frontiers in Robotics and AI, 2020 Automatic fingerprint identification systems (AFIS) make use of global fingerprint information like ridge flow, ridge frequency, and delta or core points for fingerprint alignment, before performing matching.
Uttam U. Deshpande +3 more
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Journal of Cheminformatics, 2020 An affinity fingerprint is the vector consisting of compound’s affinity or potency against the reference panel of protein targets. Here, we present the QAFFP fingerprint, 440 elements long in silico QSAR-based affinity fingerprint, components of which ...
C. Škuta +7 more
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