PenReader Handwriting Recognition SDK is a set of necessary core engine APIs and instructions for interaction with the recognition engine, and includes:
- Core PenReader engine
- API for C language
- Set of examples
- User manual
This website was created as a guide to the PenReader Handwriting Recognition SDK and is perfectly suited for:
- Developers and hardware manufacturers who plan to integrate handwriting recognition into their applications and devices;
- Webmasters of websites who would like to add HWR input into the mobile versions of their sites;
- Others who are interested in handwriting recognition, and would like to develop strong, stable partnerships in this field.
General Information about PenReader:
Handwriting has evolved into humanity’s most natural input style. By enabling handwritten input to an electronic device, positive user experience can be greatly increased.
Development of PenReader began in 1997 for the Newton system, then ported onto the Windows Mobile platform in 1999. A recognition engine of hand-printed letters for 28 languages was released in 2001, immediately followed by the development of cursive text recognition. Over the next few years, specialized operations, such as orthographical correction of recognition results, were added to the PenReader engine, increasing the complexity and reliability of handwriting identification. A full version of PenReader with cursive text recognition was released in 2007 for the Windows Mobile platform.
PenReader is a handwriting text recognition engine capable of recognizing even the most dynamic motions intrinsic to human handwriting. PenReader not only considers the pathway of the pen when analyzing handwriting gestures, but also the direction and order of all movements when composing symbols and letters. This highly specialized recognition engine is able to combine structural-lingual analysis of strokes and divide strokes into vectorial dimensions to create logical composition classes of possible results.