'Image indexing' diaporamas de présentation

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Presentation By: Salman Ahmad (270279)

A structured learning framework for content-based image indexing and visual Query (Joo-Hwee, Jesse S. Jin). Presentation By: Salman Ahmad (270279). Introduction. Motivation To do content based image retrieval from non-specific images in a broad domain. Literature Review.

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Alternative Retrieval Techniques

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Setting up a new Document Type for Image Indexing

Setting up a new Document Type for Image Indexing. Create a new directory. Setting up a new Document Type for Image Indexing. Create a new directory Grant the SQL service account READ permissions to the new directory. Setting up a new Document Type for Image Indexing. Create a new directory

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Text Extraction from Image using Python

With so much of our lives computerized, it is vitally important that machines and humans can understand one another and pass information back and forth. Mostly computers have things their way we have to and talk to them through relatively crude devices such as keyboards and mice so they can figure out what we want them to do. However, when it comes to processing more human kinds of information, like an old fashioned printed book or a letter scribbled with a fountain pen, computers have to work much harder. That is where optical character recognition OCR comes in. Here we process the image, where we apply various pre processing techniques like desk wing, binarization etc. and algorithms like Tesseract to recognize the characters and give us the final document. T.Gnana Prakash | K. Anusha "Text Extraction from Image using Python" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: https://www.ijtsrd.com/papers/ijtsrd2501.pdf Paper URL: http://www.ijtsrd.com/computer-science/simulation/2501/text-extraction-from-image-using-python/tgnana-prakash

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Scenario Breakout -- Group 1, Team 3

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