Row 6971

Row ID: 6971 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 6971 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

https://preview.redd.it/m42rhbghhe0d1.png?width=1280&format=png&auto=webp&s=90b82aee8807c17747b76baf6ea9ca5ecf8d9f94

Our video tutorial will show you how to extract individual words from scanned book pages, giving you the code you need to extract the required text from any book.

We'll walk you through the entire process, from converting the image to grayscale and applying thresholding, to using OpenCV functions to detect the lines of text and sort them by their position on the page.

You'll be able to easily extract text from scanned documents and perform word segmentation.

check out our video here : [https://youtu.be/c61w6H8pdzs](https://youtu.be/c61w6H8pdzs)&list=UULFTiWJJhaH6BviSWKLJUM9sg

Enjoy,

Eran

#ImageSegmentation #PythonOpenCV #ContourDetection #ComputerVision #AdvancedOpenCV #extracttext #extractwords

FieldValue
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label r/deeplearning
dataType post
communityName r/deeplearning
datetime 2024-05-14
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Raw Record

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  "text": "https://preview.redd.it/m42rhbghhe0d1.png?width=1280&format=png&auto=webp&s=90b82aee8807c17747b76baf6ea9ca5ecf8d9f94\n\n \n\nOur video tutorial will show you how to extract individual words from scanned book pages, giving you the code you need to extract the required text from any book.\n\nWe'll walk you through the entire process, from converting the image to grayscale and applying thresholding, to using OpenCV functions to detect the lines of text and sort them by their position on the page.\n\nYou'll be able to easily extract text from scanned documents and perform word segmentation.\n\n \n\ncheck out our video here : [https://youtu.be/c61w6H8pdzs](https://youtu.be/c61w6H8pdzs)&list=UULFTiWJJhaH6BviSWKLJUM9sg\n\n \n\n \n\nEnjoy,\n\nEran\n\n \n\n#ImageSegmentation #PythonOpenCV #ContourDetection #ComputerVision #AdvancedOpenCV #extracttext #extractwords\n\n ",
  "label": "r/deeplearning",
  "dataType": "post",
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  "datetime": "2024-05-14",
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Entry Information