Example of International Journal of Biometrics format
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Example of International Journal of Biometrics format Example of International Journal of Biometrics format Example of International Journal of Biometrics format Example of International Journal of Biometrics format Example of International Journal of Biometrics format Example of International Journal of Biometrics format Example of International Journal of Biometrics format
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Example of International Journal of Biometrics format Example of International Journal of Biometrics format Example of International Journal of Biometrics format Example of International Journal of Biometrics format Example of International Journal of Biometrics format Example of International Journal of Biometrics format Example of International Journal of Biometrics format
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This content is only for preview purposes. The original open access content can be found here.
open access Open Access

International Journal of Biometrics — Template for authors

Categories Rank Trend in last 3 yrs
Applied Mathematics #367 of 548 down down by 30 ranks
Electrical and Electronic Engineering #505 of 693 down down by 34 ranks
Computer Science Applications #511 of 693 down down by 72 ranks
Computer Vision and Pattern Recognition #70 of 85 down down by 8 ranks
journal-quality-icon Journal quality:
Medium
calendar-icon Last 4 years overview: 89 Published Papers | 106 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 14/07/2020
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Quality:  
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CiteRatio: 15.2
SJR: 2.01
SNIP: 2.43
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Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

1.2

9% from 2019

CiteRatio for International Journal of Biometrics from 2016 - 2020
Year Value
2020 1.2
2019 1.1
2018 0.8
2017 0.8
2016 1.0
graph view Graph view
table view Table view

0.191

10% from 2019

SJR for International Journal of Biometrics from 2016 - 2020
Year Value
2020 0.191
2019 0.173
2018 0.154
2017 0.155
2016 0.154
graph view Graph view
table view Table view

0.477

36% from 2019

SNIP for International Journal of Biometrics from 2016 - 2020
Year Value
2020 0.477
2019 0.746
2018 0.438
2017 0.183
2016 0.368
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 9% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has increased by 10% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 36% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

International Journal of Biometrics

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Inderscience Publishers

International Journal of Biometrics

Biometrics and human biometric characteristics form the basis of research in biological measuring techniques for the purpose of people identification and recognition. IJBM addresses the fundamental areas in computer science that deal with biological measurements. It covers bot...... Read More

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Last updated on
13 Jul 2020
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ISSN
1755-8301
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Impact Factor
Medium - 0.979
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Open Access
No
i
Sherpa RoMEO Archiving Policy
Yellow faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
plainnat
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Citation Type
Author Year
(Blonder et al., 1982)
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Bibliography Example
Beenakker, C. W. J. (2006). ‘Specular Andreev Reflection in Graphene’. Phys. Rev. Lett., Vol 97, No 6, pp. 067007.

Top papers written in this journal

Journal Article DOI: 10.1504/IJBM.2008.018665
Behavioural biometrics: a survey and classification
Roman V. Yampolskiy1, Venu Govindaraju1

Abstract:

This study is a survey and classification of the state-of-the-art in behavioural biometrics which is based on skills, style, preference, knowledge, motor-skills or strategy used by people while accomplishing different everyday tasks such as driving an automobile, talking on the phone or using a computer. The authors examine c... This study is a survey and classification of the state-of-the-art in behavioural biometrics which is based on skills, style, preference, knowledge, motor-skills or strategy used by people while accomplishing different everyday tasks such as driving an automobile, talking on the phone or using a computer. The authors examine current research in the field and analyse the types of features used to describe different types of behaviour. After comparing accuracy rates for verification of users using different behavioural biometric approaches, researchers address privacy issues which arise or might arise in the future with the use of behavioural biometrics. read more read less

Topics:

Biometrics (54%)54% related to the paper
View PDF
350 Citations
Journal Article DOI: 10.1504/IJBM.2010.030415
A survey of the effects of aging on biometric identity verification
Andreas Lanitis1

Abstract:

The performance of biometric authentication systems is affected by discrepancies between data stored in biometric templates and corresponding data derived from the actual owners of biometric templates. Such discrepancies are mainly attributed to within-person variations of biometric features. Among all types of within-person ... The performance of biometric authentication systems is affected by discrepancies between data stored in biometric templates and corresponding data derived from the actual owners of biometric templates. Such discrepancies are mainly attributed to within-person variations of biometric features. Among all types of within-person variations, aging-related variation displays unique characteristics that make the process of dealing with aging a challenging task. In this paper we discuss how aging affects different types of biometric features and discuss possible approaches that aim to eliminate the effects of aging so that deterioration in the long-term performance of biometric authentication systems is minimised. read more read less

Topics:

Biometrics (55%)55% related to the paper
112 Citations
Journal Article DOI: 10.1504/IJBM.2008.020141
Local binary pattern and wavelet-based spoof fingerprint detection
Shankar Bhausaheb Nikam1, Suneeta Agarwal1

Abstract:

Perspiration phenomenon is very significant to detect liveness of a finger. It requires two consecutive fingerprints to notice perspiration and therefore the method is slow. Some other methods in the literature need extra hardware to detect liveness. To alleviate these problems, in this paper, a new texture-based method which... Perspiration phenomenon is very significant to detect liveness of a finger. It requires two consecutive fingerprints to notice perspiration and therefore the method is slow. Some other methods in the literature need extra hardware to detect liveness. To alleviate these problems, in this paper, a new texture-based method which needs only one fingerprint is proposed. It is based on the observation that, real and spoof fingerprints exhibit different textural characteristics. Local binary pattern (LBP) histograms are used to capture these textural details. Wavelet energy features characterising ridge frequency and orientation information are also used for improving the efficiency of the proposed method. Dimensionalities of the feature sets are reduced by running sequential forward floating selection (SFFS). LBP features and wavelet energy features are independently tested on various classifiers: AdaBoost.M1, support vector machine and k-nearest neighbour. Features are also tested on a hybrid classifier formed by fusing all the mentioned earlier classifiers by the 'majority voting rule'. Fingerprint databases consisting of 185 real, 90 fun-doh and 150 gummy fingerprints are created. Experimental results indicate that, the performance of new liveness detection approach is very promising, as it needs only one fingerprint and no extra hardware to detect vitality. read more read less

Topics:

Local binary patterns (58%)58% related to the paper, Liveness (53%)53% related to the paper, Support vector machine (51%)51% related to the paper, Wavelet (51%)51% related to the paper
53 Citations
Journal Article DOI: 10.1504/IJBM.2014.059639
A new cow identification system based on iris analysis and recognition
Yue Lu1, Xiaofu He2, Ying Wen1, Patrick S. P. Wang3

Abstract:

There is a growing worldwide trend to implement livestock traceability systems. This paper aims to explore how iris analysis and recognition can be utilised on cow identification to enhance cow management in its traceability system. In general, a typical cow identification system based on iris analysis includes iris imaging, ... There is a growing worldwide trend to implement livestock traceability systems. This paper aims to explore how iris analysis and recognition can be utilised on cow identification to enhance cow management in its traceability system. In general, a typical cow identification system based on iris analysis includes iris imaging, iris detection, and recognition. First, the image quality of the captured sequences is assessed and a clear iris image is selected for subsequent process. Second, the inner and outer boundaries of cow iris are fitted respectively as two ellipses based on the edge images during segmentation. Then we can get the segmented cow iris on which normalisation is carried out using geometric method. Finally, 2D complex wavelet transform 2D-CWT is used to extract local and global characteristics of the cow iris and the phase of the filtered cow iris is encoded as features. Experimental results indicate the effectiveness of the proposed approach. read more read less
48 Citations
Journal Article DOI: 10.1504/IJBM.2009.027303
Multimodal biometrics: state of the art in fusion techniques
Tejas Joshi1, Somnath Dey1, Debasis Samanta1

Abstract:

The concept of multimodal biometrics is gaining importance to realise reliable, accurate and robust authentication systems. In multimodal biometrics, information fusion can be done at various levels: sensor level, feature level, match-score level, rank level and decision level. This paper surveys the issues of fusion at diffe... The concept of multimodal biometrics is gaining importance to realise reliable, accurate and robust authentication systems. In multimodal biometrics, information fusion can be done at various levels: sensor level, feature level, match-score level, rank level and decision level. This paper surveys the issues of fusion at different levels and recent researches addressing these issues. Furthermore, there are several fusion rules available to combine biometric traits at different levels of fusion. We have reviewed the recent approaches of fusion rules. A comparison of the state-of-the-art fusion techniques has been made to comprehend their merits and demerits. read more read less

Topics:

Biometrics (53%)53% related to the paper
43 Citations
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International Journal of Biometrics format uses plainnat citation style.

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3. Can I cite my article in multiple styles in International Journal of Biometrics?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the International Journal of Biometrics citation style.

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Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for International Journal of Biometrics.

5. Can I use a manuscript in International Journal of Biometrics that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper International Journal of Biometrics that you can download at the end.

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7. Where can I find the template for the International Journal of Biometrics?

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8. Can I reformat my paper to fit the International Journal of Biometrics's guidelines?

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12. Is International Journal of Biometrics's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for International Journal of Biometrics?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for International Journal of Biometrics. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In International Journal of Biometrics?

The 5 most common citation types in order of usage for International Journal of Biometrics are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the International Journal of Biometrics?

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16. Can I download International Journal of Biometrics in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in International Journal of Biometrics Endnote style according to Elsevier guidelines.

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