Applies To: Windows Server 2008 R2
Handwriting Recognition provides handwriting recognizers for a number of languages. Once installed, these components can be called by an application through the handwriting recognition application programming interfaces (APIs). This feature requires that Ink Support be installed.
What is Handwriting Recognition?
Handwriting recognition allows users to launch the Tablet Input Panel (TIP), write in their desired language and insert the automatically converted, recognized text into applications such as Microsoft Outlook® or Word. Personalization, a feature of handwriting recognition, enables the recognizer to learn how and what a user writes, improving that user's handwriting experience over time.
Languages Supported in Windows 7
In Windows Vista, handwriting recognition is supported for eight Latin languages: English (United States and United Kingdom), German, French, Spanish, Italian, Dutch, and Brazilian Portuguese, and four East Asian languages: Japanese, Chinese (Simplified and Traditional), and Korean. For Windows 7, 14 additional languages are supported for handwriting recognition: Norwegian (Bokmål and Nynorsk), Swedish, Finnish, Danish, Polish, Portuguese (Portugal), Romanian, Serbian (Cyrillic and Latin), Catalan, Russian, Czech, and Croatian.
For the personalization feature, Windows 7 provides support for the following languages: English (United States and United Kingdom), German, French, Spanish, Italian, Dutch, Brazilian Portuguese, Norwegian (Bokmål and Nynorsk), Swedish, Finnish, Danish, Polish, Portuguese (Portugal), Romanian, Serbian (Cyrillic and Latin), Catalan, Russian, Czech, and Croatian.
Recognizing Math Expressions
Windows 7 enables users who work with math expressions to use handwriting recognition to input math expressions via the Math Input Panel, a new accessory. The Math Input Panel recognizes handwritten math expressions, provides a rich correction experience, and inserts math expressions into target programs. Math Input Control, which offers the same recognition and correction functionality, enables developers to integrate math handwriting recognition into programs directly for a higher degree of control and customization.