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Biometric Identification and Security
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on the advancements in biometric recognition systems, with an emphasis on security, privacy, and authentication methods. It covers a wide range of biometric modalities such as fingerprint, iris recognition, face spoof detection, and multimodal biometrics. The papers also delve into topics like feature extraction, template protection, and the challenges of biometric systems under spoofing attacks.
88
Works
IDs:OpenAlex
How has Biometric Identification and Security's publication output changed over time?
ScholarIQpublication output · 1998–2017
Output grew0% over the shown period — from 1 works in 1998 to 1 in 2017.
1
2
1
2
2
2
2
2
1
199820042006200720082010201120132017
What are the most-cited papers on Biometric Identification and Security?
ScholarIQmost cited works
An Effective Approach for Iris Recognition Using Phase-Based Image Matching
Keisuke Miyazawa, Koichi Ito, Takafumi Aoki, Koji Kobayashi, Hiroshi Nakajima
S199944782. 2008284 Citations
A finger-vein verification system using mean curvature
Won-Seok Song, Taejeong Kim, Hee Chan Kim, Joon Hwan Choi, Hyoun‐Joong Kong, Seung-Rae Lee
S151820558. 2011266 Citations
Local intensity variation analysis for iris recognition
Li Ma, Tieniu Tan, Yunhong Wang, Dexin Zhang
S414566. 2004239 Citations
A Fingerprint Matching Algorithm Using Phase-Only Correlation
Koichi Ito, Hiroshi Nakajima, Koji Kobayashi, Takafumi Aoki, Tatsuo Higuchi
2004219 Citations
Where is Biometric Identification and Security research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Biometric Identification and Security is open access?
ScholarIQopen access share
13%OPEN ACCESS
Gold
7%
Green
7%
Hybrid
0%
Bronze
0%
Closed
87%
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A finger-vein verification system using mean curvature
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Local intensity variation analysis for iris recognition
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