Sentence examples for handwritten input from inspiring English sources

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Google Translate for Android also accepts handwritten input on the screen and can speak translations aloud in 40 languages.

Handwriting recognition is the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper documents, photographs, touch-screens, and other devices.

This paper is concerned with the numerical tone synthesis of a non-linear stretched string, the length or tension of which varies with time (1) at a constant rate, (2) at a cosine function rate, and (3) at a rate determined by a "handwritten" input function.

Sharp Japan announced [JP] the PN-L601B today, a quite cool touch screen that enables handwritten input to be superimposed over scanned images.

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He sent hundreds of handwritten notes.

OCR finds applications in a wide range of problem areas including printed (religious, poetry and literature books, newspapers, passports, utility bills), handwritten (office records, historical manuscripts, input to mobile devices) and mixed (traffic challans, bank checks, driving licenses, hand-filled forms) documents.

The app can also take input from a stylus for handwritten notes and, just like Microsoft's desktop version of OneNote, the new Windows 8 app also connects to SkyDrive for sharing and storing notes.

Letter-specific representations are commonly referred to as abstract letter identities, or ALIs, because they serve to mediate between highly variable inputs (consider the variability in handwritten text) and lexical orthographic representations stored in long-term memory.

This method of data collection has the following drawbacks: expenses for the decoding of handwritten symbols from the tally sheets; expenses for data input into the database; observers can be irresponsible, etc.

A memory consolidation process enables the network to generalize concepts and form clusters of input data, which outperforms many unsupervised clustering techniques; this process is demonstrated on handwritten digits from MNIST.

The data gets pattern analysis using handwritten-character-recognition SDK which Microsoft has published, and a dataset including written characters, note number, and input area is created.

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