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driver-license-ocr's Introduction

Driver-License-OCR Dependncy

Tesseract, freetype, imagemagick@6, ghostscript, openCV, python3. Django

What I achieved

  • Login(authenticate)

    • Only authenticated users are able to use this service
  • Upload image(jpg, png, jpeg) or pdf file(wand)

    • Use wand convert pdf to image
  • Preprocess the picture(openCV, pillow)

    • Border Removal(Select image area with driver information)
    • Brightness Adjustment(BGR2HSV)
    • Smooth the picture(GaussianBlur)
    • Color Change(BGR2Gray)
    • Threshold Change(THRESH_BINARY/black and white)
    • Noise remove(erode and dilate)
  • Recognize the picture(pytesseract)

    • Tesseract extract words from the processed image
  • Get name and License numebr(rx)

    • Regular expression pick up the driver name and license nnumber
  • Create the picture/pdf(wand, pypdf2, reportlab.pdfgen, zipfile)

    • Write driver name and number with Helvetica-Bold 14 size at correct position as Watermark
    • Merge Watermark and background pdf(create new pdf file)
    • Pdf to Image by using wand(optional)
    • Compress output files with zipfile
  • Modify pages

    • bootstrap and css

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