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This is a complete package of OCR model for invoices. With this project, one can automatically fill up the information to the database present in the medical stores just by showing an invoice sample to the camera. The model will recognise the necessary information, and the details will be updated in the database.

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riya-chougule/Invoice_automation

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Building_OCR_using_pytesseract_for_invoice_automation.ipynb
Building_OCR_using_pytesseract_for_invoice_automation.ipynb
 
 
Hough_transform_line_detection_of_greyscale_images.ipynb
Hough_transform_line_detection_of_greyscale_images.ipynb
 
 
OCR_building_boxes_lying_along_same_line.ipynb
OCR_building_boxes_lying_along_same_line.ipynb
 
 
OCR_building_complete_code.ipynb
OCR_building_complete_code.ipynb
 
 
Rectangle_detection_from_invoice_sample.ipynb
Rectangle_detection_from_invoice_sample.ipynb
 
 
Rectangle_extraction_from_contours.ipynb
Rectangle_extraction_from_contours.ipynb
 
 
Step_wise__Invoice_automation_project_workflow.ipynb
Step_wise__Invoice_automation_project_workflow.ipynb
 
 
binarization_of_an_image.ipynb
binarization_of_an_image.ipynb
 
 
binarization_of_image_with_different_threshold_values.ipynb
binarization_of_image_with_different_threshold_values.ipynb
 
 
binarization_with_different _threshold_values.ipynb
binarization_with_different _threshold_values.ipynb
 
 
comparison-between-canny-edge_and_Hough-line-transform-algorithm.ipynb
comparison-between-canny-edge_and_Hough-line-transform-algorithm.ipynb
 
 
comparison-between-canny-edge_and_Hough-transform-algorithm.ipynb
comparison-between-canny-edge_and_Hough-transform-algorithm.ipynb
 
 
extraction_of_horizontal_and_vertical_lines_from_image_using_Opencv.ipynb
extraction_of_horizontal_and_vertical_lines_from_image_using_Opencv.ipynb
 
 
fusion_of_optimal_techniques.ipynb
fusion_of_optimal_techniques.ipynb
 
 
identifying_character_location_using_pytesseract.ipynb
identifying_character_location_using_pytesseract.ipynb
 
 
image_to_text_conversion_using_pytesseract-paper-sample1_sample2.ipynb
image_to_text_conversion_using_pytesseract-paper-sample1_sample2.ipynb
 
 
image_to_text_conversion_using_pytesseract.ipynb
image_to_text_conversion_using_pytesseract.ipynb
 
 
lines-detection-using-Hough-transformation.ipynb
lines-detection-using-Hough-transformation.ipynb
 
 
lines-detection-using-canny-edge-detection.ipynb
lines-detection-using-canny-edge-detection.ipynb
 
 
loading_image_into_array.ipynb
loading_image_into_array.ipynb
 
 
loading_set_of_images.ipynb
loading_set_of_images.ipynb
 
 
specific_data_extraction.ipynb
specific_data_extraction.ipynb
 
 
text_segmentation_using_pytesseract.ipynb
text_segmentation_using_pytesseract.ipynb
 
 
types_of_blurring_techniques_using_OpenCv.ipynb
types_of_blurring_techniques_using_OpenCv.ipynb
 
 

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This is a complete package of OCR model for invoices. With this project, one can automatically fill up the information to the database present in the medical stores just by showing an invoice sample to the camera. The model will recognise the necessary information, and the details will be updated in the database.

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machinelearning computervision ocr-recognition
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