Abstract: A method and apparatus for identifying a language used in a document based on a number of strokes per character is provided herein. Once identified, character recognition may take place based on the language identified. In one embodiment, a character recognition engine is utilized for character recognition, wherein the character recognition engine is specifically tailored to the identified language.

Abstract: A method and device is for a multi-touch based correction of a handwriting sentence system. The method includes receiving touch inputs, generating interpreted input data as a function of the touch inputs, and displaying the interpreted input data on a display device. A request to correct a portion of the interpreted input data then switches to a correction mode. During the correction mode, a correction user interface is displayed on the display device, a gesture is received so setting data is determined as a function of a first disposition of the gesture, the setting data indicating a type of correction to be applied to the portion of the interpreted inputs, a correction data is determined as a function of a second disposition of the gesture, and the portion of the interpreted input data is corrected as a function of the touch input, the setting data, and the correction data.

Abstract: A method and apparatus for identifying a language used in a document based on a number of strokes per character is provided herein. Once identified, character recognition may take place based on the language identified. In one embodiment, a character recognition engine is utilized for character recognition, wherein the character recognition engine is specifically tailored to the identified language.

Abstract: A method and device is for a multi-touch based correction of a handwriting sentence system. The method includes receiving touch inputs, generating interpreted input data as a function of the touch inputs, and displaying the interpreted input data on a display device. A request to correct a portion of the interpreted input data then switches to a correction mode. During the correction mode, a correction user interface is displayed on the display device, a gesture is received so setting data is determined as a function of a first disposition of the gesture, the setting data indicating a type of correction to be applied to the portion of the interpreted inputs, a correction data is determined as a function of a second disposition of the gesture, and the portion of the interpreted input data is corrected as a function of the touch input, the setting data, and the correction data.

Abstract: An electronic device includes a handwriting recognition (HWR) application. The electronic device includes a processor configured to execute the HWR application and a memory storing the HWR application. The electronic device includes a display configured to receive a finger gesture. The HWR application determines a setting data as a function of (a) a number of fingers used in a first contact of the finger gesture and (b) a first position of the first contact on the display relative to a second position of the first contact on the display within a predetermined time period. The HWR application further determines an input data to be entered as a function of the setting data and at least one of (i) a movement of the finger gesture and (ii) a second contact of the finger gesture on the display.