A Comparison of Moments-Based Logo Recognition Methods

Zhang, Zili; Wang, Xuan; Anwar, Waqas; Jiang, Zoe L.

doi:10.1155/2014/854516

Cited by 7 publications

(4 citation statements)

References 34 publications

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“…In [8] The main disadvantages of Zernike moments are that the image coordinate space must be transformed to the domain where the orthogonal polynomial is defined. The continuous integrals in Zernike moments must be approximated by discrete summations.…”

Section: Discussionmentioning

confidence: 99%

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Automated Color Logo Recognition System based on Shape and Color Features

Ghosh¹,

Parekh²

2015

IJCA

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This paper proposes an automated system for rotation and scale invariant color logo recognition. Colored logo images are recognized using one shape feature namely Moments Invariant and a color feature namely Color Moments. Shape of the logo is modeled using the first two central normalized Hu's invariant moments while color is modeled using the mean, standard deviation, skewness and kurtosis calculated from the color channels. Each image is scaled and rotated by arbitrary amounts before being submitted to the recognition engine. Classification is done using Manhattan and Euclidean distances. Experimental verification is obtained using a data set of 900 images divided into 75 classes. The proposed approach is highly scalable and robust providing accuracy results comparable to the state of the art.

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Section: Discussionmentioning

confidence: 99%

“…In [6] the authors have used Canny Edge Detector to extract object contours for recognition. Other techniques that have been used for logo recognition include Angular Radial Transform [7], radial Tchebichef moments, Zernike Moments, Legendre Moments [8].…”

Section: Related Workmentioning

confidence: 99%

Automated Color Logo Recognition System based on Shape and Color Features

Ghosh¹,

Parekh²

2015

IJCA

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“…This could prevent crimes as replacing the plate is often associated with actions before a crime [3]. In addition, VLR could also provide guidance for autonomous driving systems and intelligent parking systems [4,5].…”

Section: Introductionmentioning

confidence: 99%

Learning Capsules for Vehicle Logo Recognition

Chen

Jalal

Mihaylova

et al. 2018

2018 21st International Conference on Information Fusion (FUSION)

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“…For example, VLR can detect fraudulent plates if the combination does not match the data stored on the police security database [2]. In addition, identifying the vehicle logos around can give guidance for autonomous driving systems [3].…”

Section: Introductionmentioning

confidence: 99%

Online vehicle logo recognition using Cauchy prior logistic regression

Chen

Hawes

Isupova

et al. 2017

2017 20th International Conference on Information Fusion (Fusion)

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Abstract-Vehicle logo recognition is an important part of vehicle identification in intelligent transportation systems. Stateof-the-art vehicle logo recognition approaches typically consider training models on large datasets. However, there might only be a small training dataset to start with and more images can be obtained during the real-time applications. This paper proposes an online image recognition framework which provides solutions for both small and large datasets. Using this recognition framework, models are built efficiently using a weight updating scheme. Another novelty of this work is that the Cauchy prior logistic regression with conjugate gradient descent is proposed to deal with the multinomial classification tasks. The Cauchy prior results in a quicker convergence speed for the weight updating process which could decrease the computational cost for both online and offline methods. By testing with a publicly available dataset, the Cauchy prior logistic regression deceases the classification time by 59%. An accuracy of up to 98.80% is achieved when the proposed framework is applied.

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A Comparison of Moments-Based Logo Recognition Methods

Cited by 7 publications

References 34 publications

Automated Color Logo Recognition System based on Shape and Color Features

Automated Color Logo Recognition System based on Shape and Color Features

Learning Capsules for Vehicle Logo Recognition

Online vehicle logo recognition using Cauchy prior logistic regression

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