Polynomial Neural Networks versus Other Arabic Text Classifiers

Al-Tahrawi, Mayy M.

doi:10.17706/jsw.11.4.418-430

Cited by 22 publications

(5 citation statements)

References 29 publications

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“…SURF uses the Hessian matrix to stably obtain the extreme value of the image space. However, in the stage of finding the main direction, it completely depends on the gradient direction of the local pixel points, which may cause the main direction to be inaccurate [19], and because the feature vector extraction and matching are completely dependent on the above, the main direction is determined by the step and even a small deviation angle may cause the error of feature matching [20].…”

Section: R E T R a C T E D R E T R A C T E D R E T R A C T E D R E T ...mentioning

confidence: 99%

Feature Extraction and Identification of Calligraphy Style Based on Dual Channel Convolution Network

Ziyan

2022

Security and Communication Networks

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To improve the effect of calligraphy style feature extraction and identification, this study proposes a calligraphy style feature extraction and identification technology based on two-channel convolutional neural network and constructs an intelligent calligraphy style feature extraction and identification system. Moreover, this paper improves the C3D network model and retains 2 fully connected layers. In addition, by extracting the outline skeleton and stroke features of calligraphy characters, this paper calculates the feature weight and authenticity determination function and constructs an authenticity identification system. The experimental study shows that the calligraphy style feature extraction and identification system based on the dual-channel convolutional neural network proposed in this paper has a good performance in calligraphy style feature extraction and identification.

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Section: R E T R a C T E D R E T R A C T E D R E T R A C T E D R E T ...mentioning

confidence: 99%

Feature Extraction and Identification of Calligraphy Style Based on Dual Channel Convolution Network

Ziyan

2022

Security and Communication Networks

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“…Literature [13] used reverse translation technology to reverse translation of monolingual target data to form corresponding parallel data to expand the internal domain corpus. Literature [14] proposed two methods to make full use of source-side monolingual data.…”

Section: Related Workmentioning

confidence: 99%

Computational Application on English Translation System Based on Intelligent Image Text Recognition

Wang¹,

Li²

2022

Security and Communication Networks

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This work offers an enhanced intelligent picture text recognition algorithm based on the intelligent image text recognition method to increase the impact of English image text translation. Texture blocks of adaptable size are used to successfully increase the accuracy and efficiency of restoration due to the varying texture information present in various photos. Furthermore, the repair sequence is altered as a result of the improved priority calculation algorithm, and the weight of the structural information is enhanced at the same time. In addition, in order to reduce the overall structural complexity and calculation amount of the system, the gated loop unit is also selected as the RNN structure. Finally, this article constructs an English translation system based on intelligent image text recognition according to the requirements of intelligent image text recognition and designs experiments to evaluate the performance of the system constructed in this article. The experimental statistical results show that the English translation system constructed in this article can basically meet the needs of English image text recognition.

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“…The probabilities of the two adaptive genetic algorithms proposed in literature [23] and literature [24] have different de ciencies. The adaptive probability proposed in [25] when the individual tness value is close to or equal to the maximum tness value in the contemporary population, the crossover probability and mutation probability are close to zero.…”

Section: Improved Adaptive Probabilitymentioning

confidence: 99%

Application of adaptive genetic algorithm and machine learning in English text analysis teaching system

Wang

Chen

2023

Preprint

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Fuzzy English text recognition will be affected by the complex background, resulting in low recognition accuracy. In order to improve the effect of English text recognition, it is necessary to remove the background. Based on the machine vision algorithm, this paper improves the traditional genetic algorithm to obtain an adaptive genetic algorithm, and builds an English text background elimination model based on the adaptive genetic algorithm. Moreover, this paper introduces the hill-climbing method with better local optimization effect to perform local optimization in the iterative process of genetic algorithm, and constructs an adaptive genetic algorithm based on the hill-climbing method to make up for the defects of local optimization in the evolution process of genetic algorithm. In addition, this paper constructs a projection pursuit clustering model based on hill-climbing adaptive genetic algorithm, and constructs the functional module of the English text background elimination model based on actual needs. Finally, this paper designs a control experiment to verify the performance of the model. The research results show that the effect of the model constructed in this paper is good.

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Polynomial Neural Networks versus Other Arabic Text Classifiers

Cited by 22 publications

References 29 publications

Feature Extraction and Identification of Calligraphy Style Based on Dual Channel Convolution Network

Feature Extraction and Identification of Calligraphy Style Based on Dual Channel Convolution Network

Computational Application on English Translation System Based on Intelligent Image Text Recognition

Application of adaptive genetic algorithm and machine learning in English text analysis teaching system

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