Browsing by Author "Sanjida Mishu"

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    Image to Speech Device for Visually Impaired People
    (North South University, 2020) Sanjida Mishu; K.M.A. Salam; 083588045
    Image-to-text device is designed to convert images in a functioning exploration region, which endeavors to build a PC application with the capacity to read the content from pictures naturally. These days, there is a colossal interest in putting away the data accessible on paper reports into a digital format for the future. One straightforward approach to store data from these paper reports into a PC framework is to initially filter the archives and then store them as images. Anyway to reuse this data, it is extremely hard to peruse the individual substance and look through the structure of these reports line-by-line and word-by-word. The difficulties included are: textual style attributes of the characters in the paper reports and the nature of the pictures. Because of these difficulties, PC can't perceive the characters while understanding them. Along these lines, there is a need for character recognition components to perform record image analysis, which changes documents from paper format to an electronic format. In this paper, we have explored and investigated various strategies for text recognition from pictures. This implies a huge lump of individuals with unique necessities live right among us. It's not just the decay of vision that they need to experience the ill effects of; the general nature of their lives disintegrates as well, likewise influencing their degree of autonomy. Fortunately, medical care, joined with innovative progress, is improving as time passes. For instance, a large group of creative low vision arrangements has sprung up recently, offering various sorts of highlights and capacities accommodating an entire scope of visual inabilities. The goal of this thesis paper is to summarize the notable strategies for better comprehension of the visually impaired readers and improve their livelihood.