ISSN: 2047-4938

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IET Biometrics Q2 Unclaimed

John Wiley & Sons Inc. United Kingdom

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IET Biometrics is a journal indexed in SJR in Software and Computer Vision and Pattern Recognition with an H index of 41. It has an SJR impact factor of 0,583 and it has a best quartile of Q2. It has an SJR impact factor of 0,583.

Type: Journal

Type of Copyright:

Languages:

Open Access Policy:

Type of publications:

Publication frecuency: -

Categories: Computer Vision and Pattern Recognition (Q2) Signal Processing (Q2) Software (Q2)

Price

- €

Inmediate OA

NPD

Embargoed OA

- €

Non OA

Metrics

0,583

SJR Impact factor

41

H Index

20

Total Docs (Last Year)

128

Total Docs (3 years)

837

Total Refs

358

Total Cites (3 years)

121

Citable Docs (3 years)

2.45

Cites/Doc (2 years)

41.85

Ref/Doc

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Aims and Scope

Best articles by citations

Biologically inspired makeup detection system with application in face recognition

Face spoofing detection using a light field imaging framework

EEG-based biometric authentication modelling using incremental fuzzy-rough nearest neighbour technique

Domain adaptation for ear recognition using deep convolutional neural networks

Deeply vulnerable: a study of the robustness of face recognition to presentation attacks

Developing standardised network-based biometric services

Robust and adaptive algorithm for hyperspectral palmprint region of interest extraction

Empirical mode decomposition for online handwritten signature verification

Editorial

Illumination pre-processing method for face recognition using 2D DWT and CLAHE

Label propagation approach for predicting missing biographic labels in face-based biometric records

Searching for doppelgängers: assessing the universality of the IrisCode impostors distribution

SHOW MORE ARTICLES

Separating the real from the synthetic: minutiae histograms as fingerprints of fingerprints

Performance evaluation of handwritten signature recognition in mobile environments

Modern statistical and philosophical framework for uncertainty assessment in biometric performance testing

QUIS-CAMPI: an annotated multi-biometrics data feed from surveillance scenarios

Predictive ability of anthropomorphic metrics in determining age and sex of children

Improving tactical biometric systems through the application of systems engineering

Individual identification based on chaotic electrocardiogram signals during muscular exercise

Effects of image compression on ear biometrics

Effective statistical-based and dynamic fingerprint preprocessing technique

Automatic speaker verification on narrowband and wideband lossy coded clean speech

Automatic speech discrete labels to dimensional emotional values conversion method

Impact of (segmentation) quality on long vs. short-timespan assessments in iris recognition performance