Text-line segmentation is still considered challenging for complex background scene images. The success of text detection and recognition depends on the success of the text segmentation. This study presents a new meth...
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Script identification of text in natural scene images is challenging due to complex backgrounds, arbitrary orientations, different-sized characters, varying fonts, and multiple styles. Most existing methods are not ef...
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Recognizing text extracted from multiple domains is complex and challenging because complexities vary from one domain to another. Most existing methods focus either on natural scene text or specific text type but not ...
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Shaky and non-shaky videos are quite common in real-time applications such as surveillance and monitoring vehicles and human movements in protected areas. As a result, text detection in such videos is a formidable cha...
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Personality traits identification is challenging due to unpredictable changes in the foreground and background of images. In this work, we propose a new deep learning model for personality traits image classification ...
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Early diagnosis of retinal diseases is crucial for preventing blindness. However, due to background variations and degradation in the images, retinal vessel segmentation has become challenging. As a result, accurate s...
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Cross-domain image style transfer task is an attractive topic for several applications, such as image-to-image style transfer, text-to-image style transfer, artistic image generation, etc. In cross-domain image style ...
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Text spotting in diverse domains, such as drone-captured images, underwater scenes, and natural scene images, presents unique challenges due to variations in image quality, contrast, text appearance, background comple...
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An innovative deep learning structure, PulmoNetX, integrates the capabilities of Convolutional Neural Networks (CNNs) and vision Transformers (ViTs) to enhance pneumonia detection in chest X-ray imagery. During prepro...
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Convolutional Neural Networks (CNNs) have made remarkable strides;however, they remain susceptible to vulnerabilities, particularly to image perturbations that humans can easily recognize. This weakness, often termed ...
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