Numeral recognition using curvelet transform

Kazemi, Farhad; Izadian, J.; Moravejian, R.; Kazemi, Ehsan

doi:10.1109/aiccsa.2008.4493593

Cited by 11 publications

(3 citation statements)

References 11 publications

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“…In addition to the surface wear detection of pantograph slide, the image detection technology can also realize crack detection. The curve coefficient directional mapping algorithm and the second-generation curve detection algorithm based on moving parallel windows can effectively distinguish the line singularity features of slide crack images from the point singularity features of other interference images, and accurately detect and locate the crack damage of slide plate with an accuracy rate of 94.1% [163][164][165][166].…”

Section: Image Detectionmentioning

confidence: 99%

Pantograph–catenary electrical contact system of high-speed railways: recent progress, challenges, and outlooks

Dong

et al. 2022

Rail. Eng. Science

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As the unique power entrance, the pantograph–catenary electrical contact system maintains the efficiency and reliability of power transmission for the high-speed train. Along with the fast development of high-speed railways all over the world, some commercialized lines are built for covering the remote places under harsh environment, especially in China; these environmental elements including wind, sand, rain, thunder, ice and snow need to be considered during the design of the pantograph–catenary system. The pantograph–catenary system includes the pantograph, the contact wire and the interface—pantograph slide. As the key component, this pantograph slide plays a critical role in reliable power transmission under dynamic condition. The fundamental material characteristics of the pantograph slide and contact wire such as electrical conductivity, impact resistance, wear resistance, etc., directly determine the sliding electrical contact performance of the pantograph–catenary system; meanwhile, different detection methods of the pantograph–catenary system are crucial for the reliability of service and maintenance. In addition, the challenges brought from extreme operational conditions are discussed, taking the Sichuan–Tibet Railway currently under construction as a special example with the high-altitude climate. The outlook for developing the ultra-high-speed train equipped with the novel pantograph–catenary system which can address the harsher operational environment is also involved. This paper has provided a comprehensive review of the high-speed railway pantograph–catenary systems, including its progress, challenges, outlooks in the history and future.

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Section: Image Detectionmentioning

confidence: 99%

Pantograph–catenary electrical contact system of high-speed railways: recent progress, challenges, and outlooks

Dong

et al. 2022

Rail. Eng. Science

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“…In summary, the multi-class classification using the FI is performed according to the Algorithm 1 [50], content-based image retrieval [51], character recognition [52,53]. Recently, the CT has been successfully used for offline handwritten signature retrieval [54] and verification [55].…”

Section: Hybrid Occ Ensemble Systemmentioning

confidence: 99%

Hybrid one-class classifier ensemble based on fuzzy integral for open-lexicon handwritten Arabic word recognition

Hadjadji

Chibani

Nemmour

2018

Pattern Anal Applic

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One-class classifier (OCC) is involved for solving different kinds of problems due to its ability to represent a class distribution regardless the remaining classes. Its main advantage for multi-class classification is offering an open system and therefore allows easily extending new classes without retraining OCCs. So far, hidden Markov models, support vector machines and neural networks are the most used classifiers for Arabic word recognition, which provides a system with closed lexicon. In this paper, the OCCs are explored in order to perform an Arabic word recognition system with an open lexicon. Generally, pattern recognition systems designed by a single system suffer from limitations such as the lack of uniqueness and non-universality. Thus, combining multiple systems becomes an attractive research topic for performance and robustness enhancement. Fixed rules are commonly used us combiners for the hybrid OCC ensembles. The present paper aims to propose a combination scheme of OCCs based on the use of fuzzy integral (FI) operators. Furthermore, an alternative framework is proposed to design a parameter-independent and open-lexicon handwritten Arabic word recognition system as well as a new density measure function. Experimental results conducted on Arabic handwritten dataset using different types of OCCs with large number of classes highlight the superiority of FI for hybrid OCC ensembles.

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“…In order to obtain the curvelet texture descriptor, a number of statistical operations are applied to the coefficients generated as the output. The coefficients of the Discrete Curvelet Transform can be defined by the equation (1) [16]:…”

Section: B the Curvelet Transformmentioning

confidence: 99%

Handwritten Kannada Numeral Recognition based on the Curvelets and Standard Deviation

Mamatha

S²,

Srikanta³

2013

IJSPS

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A feature extractor is generally used to characterize an object by making numerical measurements of the object. Features whose values are similar for objects belonging to the same class and dissimilar for objects in different classes are considered as good features. In this paper, an attempt is made to develop an algorithm for the recognition of handwritten Kannada numerals using fast discrete curvelet transform. Curvelet coefficients are obtained by applying the curvelet transform with different scales. Standard deviation is applied to the coefficients obtained and the result of this is used as the feature vector. A k-NN classifier is adopted for classification. The proposed algorithm is experimented on 1000 samples of numerals. The system is seen to deliver reasonable recognition accuracies for different scales with 90.5% being the highest for Scale 3. 

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Numeral recognition using curvelet transform

Cited by 11 publications

References 11 publications

Pantograph–catenary electrical contact system of high-speed railways: recent progress, challenges, and outlooks

Pantograph–catenary electrical contact system of high-speed railways: recent progress, challenges, and outlooks

Hybrid one-class classifier ensemble based on fuzzy integral for open-lexicon handwritten Arabic word recognition

Handwritten Kannada Numeral Recognition based on the Curvelets and Standard Deviation

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