Science Explorer Interactive view Map

Vehicle License Plate Recognition

Vehicle License Plate Recognition is a research topic within Media Technology. Science Explorer counts 16k research works in it since 1950. 11.3% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the development and application of automatic license plate recognition systems, utilizing techniques such as deep learning, convolutional neural networks, and character segmentation. The research covers various aspects including vehicle identification, real-time recognition, and integration with intelligent transportation systems.

  • Automatic License Plate Recognition
  • ALPR
  • Vehicle Identification
  • Deep Learning
  • Convolutional Neural Networks
  • Character Segmentation
  • Intelligent Transportation System
  • Real-Time Recognition
  • Neural Network
  • Number Plate Detection
Research works
16k
fractional, since 1950
In the world top 10%
1.8k
per year above
Top-10% rate
11.3%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+109%
the tick is no change

Which countries lead Vehicle License Plate Recognition research?

By volume, China and India publish the most (1.9k and 1.7k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.9k works
  2. 2 India 1.7k works
  3. 3 Indonesia 487 works
  4. 4 United States 234 works
  5. 5 ?? 143 works
  6. 6 Malaysia 125 works
  7. 7 Türkiye 103 works
  8. 8 Bangladesh 103 works
  9. 9 Iraq 90 works
  10. 10 South Korea 90 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.

China: 38.4%India: 33.6%Indonesia: 9.9%United States: 4.8%6 others listed: 13.3%38%largest
China1,890 · 38.4%India1,653 · 33.6%Indonesia487 · 9.9%United States234 · 4.8%6 others listed654 · 13.3%

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

Which institutions lead Vehicle License Plate Recognition research?

By volume in 2022–2025, Saveetha University publishes the most Vehicle License Plate Recognition research, followed by SRM Institute of Science and Technology and Vellore Institute of Technology University.

Who are the leading researchers in Vehicle License Plate Recognition?

The most-cited researchers publishing on Vehicle License Plate Recognition include Anil K. Jain and David Zhang.

  1. 1 Anil K. Jain United States 6.3k citations
  2. 2 David Zhang Hong Kong 3.3k citations

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

Where is Vehicle License Plate Recognition research done?

The largest centres of Vehicle License Plate Recognition research in 2022–2025 are Beijing (China), Chennai (India), Shanghai (China) and Xi'an (China). Among places with at least 20 works in it, it is an unusually large share of all research in Vijayawada.

Largest cities, 2022–2025

  1. 1 Beijing China 293 works
  2. 2 Chennai India 261 works
  3. 3 Shanghai China 129 works
  4. 4 Xi'an China 96 works
  5. 5 Pune India 93 works
  6. 6 Guangzhou China 92 works
  7. 7 Coimbatore India 92 works
  8. 8 Wuhan China 92 works
  9. 9 Bengaluru India 91 works
  10. 10 Nanjing China 86 works

Where it is the local speciality

  1. VijayawadaIN · 42.8 works16×
← less than its size predictsmore →

Location quotient: how much more of its research is in Vehicle License Plate Recognition than the world average.

See Vehicle License Plate Recognition on the map

Where is the best place to study Vehicle License Plate Recognition?

Among universities, judged by research, Amrita Vishwa Vidyapeetham, Saveetha University and Vellore Institute of Technology 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%10%20%mean 11.77%fractional works in this node (log) →share in the world top 10% →Amrita Vishwa Vidyapeetham: 46, 15.8%Saveetha University: 95, 7.5%Vellore Institute of Technology University: 47, 11.5%Institute of Engineering: 16, 5.7%SRM Institute of Science and Technology: 62, 9.2%Koneru Lakshmaiah Education Foundation: 19, 16.1%Kalasalingam Academy of Research and Education: 12, 19.3%Chitkara University: 24, 10.8%Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology: 15, 5.2%Institute of Management Technology: 12, 16.6%Amrita Vishwa Vidyap…Vellore Institute of…Saveetha UniversityInstitute of Enginee…
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 Amrita Vishwa VidyapeethamIndia 71.615.8%14.4×46 +286.2%
2 Saveetha UniversityIndia 62.77.5%16.6×95
3 Vellore Institute of Technology UniversityIndia 61.911.5%7.9×47 +941.5%
4 Institute of EngineeringNepal 60.55.7%13.5×16 +253.6%
5 SRM Institute of Science and TechnologyIndia 58.79.2%12.4×62
6 Koneru Lakshmaiah Education FoundationIndia 57.016.1%11.4×19
7 Kalasalingam Academy of Research and EducationIndia 55.419.3%12.8×12
8 Chitkara UniversityIndia 53.610.8%10.5×24
9 Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and TechnologyIndia 53.65.2%11.2×15 +197.5%
10 Institute of Management TechnologyIndia 52.816.6%14.1×12

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 Vehicle License Plate Recognition research growing?

Output in 2018–2022 was 109% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Vehicle License Plate Recognition.

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.