Text Recognition

Introduction

Text Recognition can help you to automate tedious data entry and speed up the onboarding process.

Ability

• Recognize text in all orientations

• Detect identity card in the image

Limitations

The following is a list of conditions that can reduce performance of the model to recognize text.

• Blurry Image

• Glare Image

• Lightning

• Perspective

Under the Hood

Kredibel is using deep learning to perform text recognition task. Below is an explanation of how a Kredibel Text Recognition system works.

1. Upload Image

Users can upload a handheld or non-handheld identity card image. Our system can handle both.

2. Identity Card Detection

Our system will detect whether there is an identity card in the image or not.

3. Cropping

Our system will automatically crop the image region of interest (identity card) to prevent unwanted characters from being detected.

4. Orientation estimation

Our system will estimate text orientation and normalize it. Thats why our system can recognize text in all orientations.

5. Text Detection

Our system detects text on the image. Create a bounding box for each detected word.

6. Text Recognition

Our system recognizes each text detected by the text detection model.

7. POST-OCR Parsing

Our system will parse the unstructured data generated by the OCR system into structured data.

Endpoints

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