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  • Language
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  • Created over 6 years ago
  • Updated over 1 year ago

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The module extracts text from image using the tesseract-OCR engine. Generally, text present in the images are blur or are of uneven sizes. The image is pre-processed for better comprehension by OCR. This module first makes bounding box for text in images and then normalizes it to 300 dpi, suitable for OCR engine to read.
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ConnectingDots

1. Perceptron: The very basic entity in Machine Learning. It's training and weights update in code. 2. Image Aesthetic Assessment: Determining the aesthetic content of an image. The network defined use Spatial Pyramid Pooling. 3. Image Classification: Alexnet architecture in Keras for image classification. Find more here
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5

extract_phrase

Frequent Phrase Extraction : This module extracts the most common occurring phrases in the corpus. It is based on the NLP rule based extraction. All the corpus processing done is out of the main memory.
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6

menu_parser

tool to read images, images formatted like standard restaurant-menu
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7

yardstick17.github.io

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