A serial cascade of lightweight CNN and spectrum normalized GAN and spectrum normalized GAN, integrating CBAM attention mechanism is proposed, integrating CBAM attention mechanism, with good experimental results.
The Handwritten Digit Recognition System is a machine learning and deep learning–based project developed to accurately identify handwritten numerical digits from input images by using image processing techniques and a Convolutional Neural Network model trained on the MNIST dataset.
R. Rajesh, P. Sravani· International Journal for Re...· 0 citations
This study focuses on enhancing handwritten Devanagari character recognition using deep learning models, specifically fine-tuned Convolutional Neural Networks (CNNs), combined with hybrid mathematical methods for image enhancement, proposing a fuzzy-enabled Power-Law transformation for image enhancement.
Akshara Sreenivasan, Vinodkumar Vinodkumar Arumugam, Sriramakrishnan Pathmanaban et al.· Chaos and Fractals· 0 citations
A deep learning-based handwritten character recognition system that leverages Convolutional Neural Networks for automatic feature extraction and classification and highlights the effectiveness of deep learning techniques in enhancing recognition performance and reducing classification errors compared to conventional ma...
Shwetha M R Shwetha M R, Kowshik S S Kowshik S S· International Scientific Jou...· 0 citations
Evaluated and compares the performance of Support Vector Machine and Decision Tree classifiers for handwritten digit recognition using the Modified National Institute of Standards and Technology (MNIST) dataset and indicates that SVM provides superior classification performance for handwritten digit recognition, while...
Bilikisu Temilade Azeez, Stephen Olatunde Olabiyisi, Modupe O. Alade et al.· International Journal of Lat...· 0 citations
This study presents an easy-to-use system that can recognize and solve handwritten polynomial equations using a Convolutional Neural Network, and supports basic mathematical symbols, providing an accurate and user-friendly educational tool.
Anupa Gaire, Rohisha Shrestha, Rosha Prajapati et al.· Journal of Sciences and Engi...· 0 citations
A comparative study between handcrafted and automated feature extraction method has been provided, showing that the performance with HE is the best in the handcrafted approach.
Lana Abdullah AL-Afeef, H. Al-Otum· International Journal of Fut...· 0 citations
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