Tag: ocr

Full Scan Support for Malaysia and Singapore ID Cards

The PixLab OCR team is pleased to announce that it fully support now scanning ID cards from Malaysia (MyKad), Singapore, India Aadhaar, Emirates (UAE) ID & GCC Residence Card, US Driver's License, as well governments issued Passports from all over the world via the /DOCSCAN API endpoint.

Besides its robust text scanning features, the /docscan API endpoint shall Extract (crop) any detected face and transform the extracted text content such as ID card fields (name, ID number, address, etc.) or Passport Machine Readable Zone (MRZ) into JSON object fields ready to be consumed by your code.

Below, a typical output result of the /docscan endpoint for an ID card input image:

Input ID card Specimen

ID card specimen

Extracted ID Card Fields

extracted fields

The same applies for Passports:

Input Passport Specimen

Passport Specimen

Extracted MRZ Fields

MRZ Fields

The code samples used to achieve such result are available to consult via the following Github links:

Face extraction is automatically performed using the /facedetect API endpoint. If you are dealing with PDF documents, you can convert them at first to raw images via the /pdftoimg endpoint.

Finally, the official endpoint documentation is available to consult at pixlab.io/id-scan-api/docscan and a set of working samples in various programming language are available at the PixLab samples pages.

OCR performance improved

As requested by our users, our /OCR endpoint gets more support for various languages including Arabic, Modern Hebrew, Russian & simplified Chinese.

bounding box coordinates are now enabled by default. For each request, besides the full text output, you get a bbox array where each entry of this array hold the target word and its bounding box (i.e. rectangle) coordinates. Each entry in this array is identified by an instance of the following JSON object:


{
    word: Extracted word,
    x: X coordinate of the top left corner,
    y: Y coordinate of the top left corner,
    w: Width of the rectangle that englobe this word,
    h: Height of the rectangle that englobe this word
}

The documentation is updated and available to consult at https://pixlab.io/cmd?id=ocr and a Python sample is provided on Github at https://github.com/symisc/pixlab/blob/master/python/ocr.py.

With that in hand, you can further tune your analysis phase for example by extracting each word via /crop and perform another pass if desired.