flutter_ocr_sdk 0.2.0 flutter_ocr_sdk: ^0.2.0 copied to clipboard
A wrapper for Dynamsoft OCR SDK, detecting MRZ in passports, travel documents, and ID cards.
flutter_ocr_sdk #
A wrapper for Dynamsoft OCR SDK with MRZ detection model. It helps developers build Flutter applications to detect machine-readable zones (MRZ) in passports, travel documents, and ID cards.
Try MRZ Detection Example #
Android #
cd example
flutter run -d <device>
Supported Platforms #
- Android
TODO: Web, Windows, Linux, iOS
Installation #
Add flutter_ocr_sdk
as a dependency in your pubspec.yaml
file.
dependencies:
...
flutter_ocr_sdk:
Usage #
-
Download the model folder to your project, and configure
assets
inpubspec.yaml
:assets: - model/
-
Initialize the MRZ detector with a valid license key:
FlutterOcrSdk _mrzDetector = FlutterOcrSdk(); int? ret = await _mrzDetector.init("", "DLS2eyJoYW5kc2hha2VDb2RlIjoiMjAwMDAxLTE2NDk4Mjk3OTI2MzUiLCJvcmdhbml6YXRpb25JRCI6IjIwMDAwMSIsInNlc3Npb25QYXNzd29yZCI6IndTcGR6Vm05WDJrcEQ5YUoifQ==");
-
Load the MRZ detection model:
await _mrzDetector.loadModel('model/');
-
Recognize MRZ from an image file:
List<List<MrzLine>>? results = await _mrzDetector.recognizeByFile(photo.path);
-
Recognize MRZ from an image buffer:
ui.Image image = await decodeImageFromList(fileBytes); ByteData? byteData = await image.toByteData(format: ui.ImageByteFormat.rawRgba); List<List<MrzLine>>? results = await _mrzDetector.recognizeByBuffer( byteData.buffer.asUint8List(), image.width, image.height, byteData.lengthInBytes ~/ image.height, ImagePixelFormat.IPF_ARGB_8888.index);
-
Parse MRZ information:
String information = ''; if (results != null && results.isNotEmpty) { for (List<MrzLine> area in results) { if (area.length == 2) { information = MRZ.parseTwoLines(area[0].text, area[1].text).toString(); } else if (area.length == 3) { information = MRZ .parseThreeLines(area[0].text, area[1].text, area[2].text) .toString(); } } }