The art and science behind handwriting recognition
Imagine writing on a digital tablet or device using a stylus. As you write, advanced algorithms work behind the scenes, capturing your ink strokes and transforming them into meaningful content. This critical process is powered by the recognition engine that ensures the system comprehends what you are writing, be it text, shapes, or mathematics.
However, challenges arise when the content ranges from simple text to complex equations or diagrams. This is where content classification plays a major role. Before the recognition process begins, the system classifies what you are writing to interpret and process the data accurately.
Manual vs. automatic classification of handwritten content
Manual classification: Precision in your hands
One route for precision is manual classification. This method allows users to define content types explicitly, triggering the ideal recognition engines. While it may require a bit more input from the user, the outcome is well worth the effort. Manual control ensures higher accuracy and provides users the autonomy to correct any misinterpretations from automated processes.
Automatic classification: Quick and effortless
For those who prioritize speed, automatic classification utilizes state-of-the-art algorithms to expedite the process. Automatic classification can identify content types and direct them to the proper recognition engine. This feature is particularly beneficial when working with diverse and clear inputs, saving invaluable time without compromising on accuracy.
Redefining content classification with iink SDK 3.1
Previously, in versions up to 3.0, iink SDK’s classification was quite limited, with no configuration options. The leap to 3.1 pours extensive refinement into both manual and automatic classification processes, marking a significant improvement in user experience.
New RawContent Recognizer for automatic classification
MyScript iink SDK 3.1 now offers comprehensive control over automatic classification and introduces the RawContent Recognizer. This advanced technology automatically identifies content types – be it text, shapes, math expressions, decorations and drawings – and sends them to the appropriate recognition engine, streamlining the entire recognition process.
New APIs for manual classification
Moreover, the updated manual classification in iink SDK 3.1 introduces new APIs for Editor and OffscreenEditor, enabling users to specify content types. This is particularly impactful for mathematical content, enhancing the handling of math blocks to ease editing and rendering processes.
Configuration options for optimized recognition
Recognition can now be configured and triggered based on classified content types, ensuring that the workflow is optimized for each specific input. This enhances the overall accuracy of digital content conversion, lifting the burden off developers so they can focus on core functionalities.
What's next with iink SDK?
Seamless integration into editing solutions
This new technology will soon improve all editing solutions and made available through Editor and OffscreenEditor integrations. By embedding automatic classification capabilities directly into diverse editing environments, MyScript iink SDK ensures that creating, editing, and recognizing handwritten content becomes an easy and accurate process.
Extending automatic classification capabilities
We aren’t stopping here. Future updates for MyScript iink SDK will include automatic classification for even more types of content, like tables and grouped decorations. These new features will make it easier to interpret complex document structures without manual intervention, further simplifying the content creation process.
Setting new standards in digital handwriting
MyScript iink SDK 3.1 is the latest achievement in handwriting recognition technology. Its improved manual and automatic classification capabilities provide users with an enhanced experience, offering seamless integration of various content types.
The unique recognition feature, particularly beneficial for mathematical content, allows users to maximize the extensive editing features available. Future updates are set to expand automatic classification even further, continuously improving to meet user needs.
Head over to the MyScript Developer website and discover the power of iink SDK 3.1. Our complete array of documentation and examples will show you how our SDK can boost your solutions. Join us in shaping the future of digital handwriting – sign up for free today!