1. 05 Jul, 2017 3 commits
    • francois's avatar
    • francois's avatar
      erp5_receipt_recognition_test: Add unit test for receipt recognition module · e9b63938
      francois authored
      This commit contain a testing business template for the receipt recognition module
      test the "Receipt" type update as well as the OCR success and fail on a set of poor
      
      This commit contain binary files that are test images..
      e9b63938
    • francois's avatar
      erp5_receipt_recognition: Execute OCR on receipt image to find total value · bb8bd034
      francois authored
      This commit contain the business template that take a receipt image as a source,
      binarize then segmentize it, and apply OCR on it. It then extract the meaning
      with regular expressions. The image should already be loaded inside the
      image module before it can be read.
      
      The business template contain:
      	* The receipt recognition module
      	* An extension containing the code that binarize, crop and
      	  segmentize the image then analize it.
      	* A new type "Receipt" that contain a source image and the
      	  field that contain the "total" value
      	* A portal skin folder containing the extension externalMethods
      	  aswell as the conversion script that call the recognition and
      	  update the Receipt "total" field
      
      Improvements (not limited to this list):
      	- Easier loading of picture: directly from the receipt page.
      	- Easier loading of picture 2: from phone with OfficeJS
      	  (or any renderJS) application?
      	- Detect when images are sideway and rotate them straight
      	- Better "boxing" and segmentation: some lines are deleted from
      	  the original image during the segmentation when they are too
      	  close from other
      	- Modify the neural network (lstm) to increase weight of signs
      	  like $, euro, / and numbers
      	- Use of a faster/smaller neural network: Most of the time is
      	  lost with the loading of the neural network
      	- Caching the neural network: See previous statement.
      	- Extract currency, date and receipt emettor.
      	- Use a neural network for the meaning extraction?
      bb8bd034
  2. 20 Jun, 2017 2 commits
  3. 19 Jun, 2017 9 commits
  4. 16 Jun, 2017 7 commits
  5. 15 Jun, 2017 4 commits
  6. 14 Jun, 2017 7 commits
  7. 13 Jun, 2017 4 commits
  8. 12 Jun, 2017 4 commits