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Biometric Identification and Security

Biometric Identification and Security is a research topic within Signal Processing. Science Explorer counts 22k research works in it since 1950. 16.5% of them reached the world's top 10% most cited for their field and year.

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.

  • Biometric Recognition
  • Security
  • Privacy
  • Authentication
  • Fingerprint
  • Iris Recognition
  • Face Spoof Detection
  • Multimodal Biometrics
  • Feature Extraction
  • Template Protection
Research works
22k
fractional, since 1950
In the world top 10%
3.6k
per year above
Top-10% rate
16.5%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+21%
the tick is no change

Which countries lead Biometric Identification and Security research?

By volume, India and China publish the most (1.3k and 1.2k works in 2022–2025).

By volume, 2022–2025

  1. 1 India 1.3k works
  2. 2 China 1.2k works
  3. 3 United States 358 works
  4. 4 Iraq 171 works
  5. 5 Indonesia 131 works
  6. 6 South Korea 108 works
  7. 7 Japan 101 works
  8. 8 Malaysia 94 works
  9. 9 Germany 86 works
  10. 10 United Kingdom 86 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

India: 36.3%China: 32.7%United States: 9.8%Iraq: 4.7%6 others listed: 16.5%36%largest
India1,328 · 36.3%China1,199 · 32.7%United States358 · 9.8%Iraq171 · 4.7%6 others listed605 · 16.5%

Shares of the rows listed above, not of the whole node.

Which institutions lead Biometric Identification and Security research?

By volume in 2022–2025, Saveetha University publishes the most Biometric Identification and Security research, followed by Vellore Institute of Technology University and SRM Institute of Science and Technology.

Who are the leading researchers in Biometric Identification and Security?

The most-cited researchers publishing on Biometric Identification and Security include Xiaogang Wang, Wei Liu and Xiaoou Tang.

  1. 1 Xiaogang Wang Russia 13k citations
  2. 2 Wei Liu China 9.7k citations
  3. 3 Xiaoou Tang Hong Kong 8k citations
  4. 4 Chen Change Loy Singapore 7.7k citations
  5. 5 Dan Boneh United States 7.5k citations
  6. 6 Anil K. Jain United States 6.3k citations
  7. 7 Lei Zhang Hong Kong 5.3k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Biometric Identification and Security research done?

The largest centres of Biometric Identification and Security research in 2022–2025 are Beijing (China), Chennai (India), Nanjing (China) and Baghdad (Iraq). Among places with at least 20 works in it, it is an unusually large share of all research in Darmstadt and Mosul.

Largest cities, 2022–2025

  1. 1 Beijing China 209 works
  2. 2 Chennai India 172 works
  3. 3 Nanjing China 85 works
  4. 4 Baghdad Iraq 80 works
  5. 5 Xi'an China 76 works
  6. 6 Bengaluru India 71 works
  7. 7 Shanghai China 63 works
  8. 8 Coimbatore India 62 works
  9. 9 Pune India 62 works
  10. 10 Guangzhou China 60 works

Where it is the local speciality

  1. DarmstadtDE · 35.2 works14×
  2. MosulIQ · 23.8 works11×
← less than its size predictsmore →

Location quotient: how much more of its research is in Biometric Identification and Security than the world average.

See Biometric Identification and Security on the map

Where is the best place to study Biometric Identification and Security?

Among universities, judged by research, University of Technology - Iraq, University of Macau and Michigan State University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 22.14%fractional works in this node (log) →share in the world top 10% →University of Technology - Iraq: 15, 24.7%University of Macau: 10, 34.0%Michigan State University: 20, 39.2%Saveetha University: 55, 7.8%Vellore Institute of Technology University: 32, 17.2%Indian Institute of Technology Indore: 13, 10.5%Darmstadt University of Applied Sciences: 18, 21.0%Clarkson University: 10, 24.7%Koneru Lakshmaiah Education Foundation: 13, 10.7%Manipal Academy of Higher Education: 13, 31.6%Michigan State Unive…University of MacauUniversity of Techno…Saveetha University
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 University of Technology - IraqIraq 67.324.7%13.1×15 +326.1%
2 University of MacauMacau 62.534.0%6.4×10 +99.3%
3 Michigan State UniversityUnited States 60.539.2%5.7×20 +34.1%
4 Saveetha UniversityIndia 59.97.8%11.7×55
5 Vellore Institute of Technology UniversityIndia 59.317.2%6.6×32 +413.9%
6 Indian Institute of Technology IndoreIndia 55.110.5%15.3×13 +937.3%
7 Darmstadt University of Applied SciencesGermany 54.921.0%142.6×18 +17.6%
8 Clarkson UniversityUnited States 54.924.7%41.3×10 +29.6%
9 Koneru Lakshmaiah Education FoundationIndia 54.110.7%9.5×13 +528.6%
10 Manipal Academy of Higher EducationIndia 53.531.6%5.5×13 +106.9%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Biometric Identification and Security research growing?

Output in 2018–2022 was 21% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Biometric Identification and Security.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.