What is manuscript recognition?

Manuscript recognition is most often used to describe the ability of the computer to convert human writing into the text. This can happen in one of the two ways, either by scanning the written text or by direct writing to the peripheral input device. Most of the scanning suite offers some form of OCR, allowing users to scan manually written documents and have them translated into basic text documents. Some archivists also use OCR as a method of converting a huge number of handwritten historical documents into searchable, easily accessible digital forms. At the age of 90, Apple released computers of a handkerchief called Newton, which used the first widely available recognition interface manuscripts. By using a small stylus, the user was able to write directly to Newton's screen and (theoretically) let their letters recognized and converted to text. In practice, the software that Newton tried to learn to teach the manuscript of users, less than ideal, and as a result its popularity has never been great.

Later Palm Company tried a new manuscript recognition system they called graffiti. Rather than relying on the intuitive use of the traditional Roman alphabet, the graffiti system defined its own system of much simpler lines such as stand-ins for each letter. This allowed him a higher success in identifying letters and learning the user variant, but was made for a steep learning curve that maintained most common users at bay.

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PCS tablet PC also also uses a manuscript recognition system. Rather than trying to learn 'with the nuances, however, tablet computers draw on a large database of character variations. This system seems to have a higher success rate for most users than adaptive systems, but it also seems to have a threshold value of its reliability.

Software Research for Manuscript Recognition began to collect speed, with PDA mainstreaming and mobile phoneswith stylus inputs. What was once a sphere of marginal technologists is quickly becoming a market with more billions of dollars, which has caused many companies to restart their investigation of the recognition of the manuscript.

While problems preventing a strong and reliable manuscript recognition system are great, recent breakthroughs suggest that it is only a matter of time before almost perfect recognition becomes a reality for the mainstream.