https://github.com/dynamsoft/label-recognizer-mobile-samples
Dynamsoft Label Recognizer samples for the Android and iOS editions
https://github.com/dynamsoft/label-recognizer-mobile-samples
android caffemodel cnn identity ios mrz ocr passport swift visa
Last synced: 6 months ago
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Dynamsoft Label Recognizer samples for the Android and iOS editions
- Host: GitHub
- URL: https://github.com/dynamsoft/label-recognizer-mobile-samples
- Owner: Dynamsoft
- License: other
- Created: 2021-09-08T08:43:03.000Z (about 4 years ago)
- Default Branch: master
- Last Pushed: 2024-08-07T01:27:24.000Z (about 1 year ago)
- Last Synced: 2024-08-07T03:53:15.257Z (about 1 year ago)
- Topics: android, caffemodel, cnn, identity, ios, mrz, ocr, passport, swift, visa
- Language: Objective-C
- Homepage:
- Size: 33.3 MB
- Stars: 0
- Watchers: 5
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# Dynamsoft Label Recognizer samples for the Android and iOS editions
⚠️ **Notice:** This repository has been **archived**. For the latest examples utilizing label recognition features, please visit the **[Dynamsoft Capture Vision Samples](https://github.com/Dynamsoft/capture-vision-mobile-samples)** repository. 🚀
This repository contains multiple samples that demonstrate how to use the [Dynamsoft Label Recognizer](https://www.dynamsoft.com/label-recognition/overview/) Android and iOS Editions.
## Requirements
### Android
- Supported OS: Android 5.0 (API Level 21) or higher.
- Supported ABI: **armeabi-v7a**, **arm64-v8a**, **x86** and **x86_64**.
- Development Environment: Android Studio 2022.2.1 or higher.
### iOS
- Supported OS: iOS 11 or higher (iOS 13 and higher recommended).
- Supported ABI: arm64 and x86_64.
- Development Environment: Xcode 13 and above (Xcode 14.1+ recommended), CocoaPods 1.11.0+.
## Samples
| Sample Name | Description | Programming Language(s) |
| ----------- | ----------- | ----------------------- |
| ReadTextLinesWithCameraEnhancer | This sample shows the simplest way to recognize text lines from the video streaming with DynamsoftCameraEnhancer as the video input. | Java(Android)/Objective-C/Swift |
### How to build (For iOS Editions)
1. Enter the sample folder, install DLR SDK through `pod` command
```bash
pod install
```
2. Open the generated file `[SampleName].xcworkspace`
## License
You can request a 30-day trial license via the [Request a Trial License](https://www.dynamsoft.com/customer/license/trialLicense?product=dlr&utm_source=samples&package=mobile) link.
## Contact Us
For any questions or feedback, you can either [contact us](https://www.dynamsoft.com/company/contact/) or [submit an issue](https://github.com/Dynamsoft/label-recognizer-mobile-samples/issues/new).