Mohamed Fathallah1,*, Mohamed Sakr2, Sherif Eletriby2
CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 383-396, 2023, DOI:10.32604/cmc.2023.039824
Abstract Text-to-image generation is a vital task in different fields, such as combating crime and terrorism and quickly arresting lawbreakers. For several years, due to a lack of deep learning and machine learning resources, police officials required artists to draw the face of a criminal. Traditional methods of identifying criminals are inefficient and time-consuming. This paper presented a new proposed hybrid model for converting the text into the nearest images, then ranking the produced images according to the available data. The framework contains two main steps: generation of the image using an Identity Generative Adversarial Network (IGAN) and ranking of the… More >
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