Text Recognition
Text Recognition can help you to automate tedious data entry and speed up the onboarding process.
- Recognize text in all orientations
- Detect identity card in the image
The following is a list of conditions that can reduce performance of the model to recognize text.
- Blurry Image
- Glare Image
- Lightning
- Perspective
Kredibel is using deep learning to perform text recognition task. Below is an explanation of how a Kredibel Text Recognition system works.
Users can upload a handheld or non-handheld identity card image. Our system can handle both.
Our system will detect whether there is an identity card in the image or not.
Our system will automatically crop the image region of interest (identity card) to prevent unwanted characters from being detected.
Our system will estimate text orientation and normalize it. Thats why our system can recognize text in all orientations.
Our system detects text on the image. Create a bounding box for each detected word.
Our system recognizes each text detected by the text detection model.
Our system will parse the unstructured data generated by the OCR system into structured data.
Method | URL | Description |
POST | $vision/v1/ocr/id/ktp | KTP OCR |
POST | $vision/v1/ocr/id/sim | SIM OCR |
POST | $vision/v1/ocr/id/passport | Passport OCR |
Last modified 1yr ago