Skip to main navigation
Skip to search
Skip to main content
University of Nottingham Ningbo China Home
Home
Profiles
Research units
Research output
Projects
Prizes
Activities
Press/Media
Impacts
Student theses
Search by expertise, name or affiliation
Extracting local texture features for image-based coin recognition
L. Shen
, S. Jia, Z. Ji, W. S. Chen
Research output
:
Journal Publication
›
Article
›
peer-review
25
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Extracting local texture features for image-based coin recognition'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Image-based
100%
Local Texture Features
100%
Coin Recognition
100%
Local Binary Pattern
50%
Concatenated
50%
Feature Representation
50%
Physical Properties
50%
Concentric Rings
50%
Feature Vector
50%
Distance Measure
50%
Distance-based
50%
Texture Information
50%
Ring Structure
50%
Gabor Features
50%
Gabor Wavelet
50%
Nearest Neighbor Classifier
50%
Gabor Coefficients
50%
Edge Distance
50%
Shift Operator
50%
Local Binary Pattern Operator
50%
Small Section
50%
Circular Shift
50%
Engineering
Texture Feature
100%
Local Binary Pattern
100%
Nearest Neighbor
50%
Feature Vector
50%
Texture Information
50%
Gabor Wavelet
50%
Neighbor Classifier
50%
Smallest Section
50%
Computer Science
Texture Feature
100%
Feature Vector
50%
Texture Information
50%
Gabor feature
50%
Nearest Neighbors Classifier
50%
Shift Operator
50%
Gabor Coefficient
50%