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Topic: Handwriting recognition


Related Topics
ICR
OMR

  
  PenOffice handwriting recognition for Tablet PC and Desktop PC
PenOffice is a combination of a powerful handwriting recognition engine and applications which allow you to extend the core PenOffice functions.
Now, if you write on the Tablet PC Input Panel, the Microsoft handwriting recognition will be used, however, when you write anywhere else on the screen PenOffice handwriting recognition will be used.
In addition to handwriting recognition you also will be able to use advanced PenOffice features such as recognition gestures, PenCommander, spell checker, word document markup, correction window, and others.
www.phatware.com /penoffice/index.html   (1492 words)

  
  Handwriting recognition
We believe that there is an ultimate solution of the general real-time handwriting recognition problem, which can be stated as "To convert a set of digital handwritten curves into a set of letters and/or sensible words in arbitrary language".
Connected (cursive) handwriting is likely to require linguistic knowledge to be involved into a recognition process.
However early versions of our connected (cursive) handwriting recognition core have indicated specific classes of connected (cursive) handwriting that can be recognized without linguistic analysis.
www.penreader.com /technologies/Handwriting.html   (410 words)

  
 How to install and configure handwriting recognition in Windows XP
The recommended tool is a handwriting input device, such as a pen stylus and tablet, connected to your computer through a serial port or USB port.
Handwriting recognition is added as a text service for the language that you specified.
Handwriting recognition is removed for the language that you specified.
support.microsoft.com /?kbid=306906   (1232 words)

  
 Nuance - Handwriting Recognition
Nuance's unique handwriting recognizers understand users' own natural writing, thus freeing them from the need to learn and employ unwieldy, unnatural predetermined letter shapes.
The Nuance family of handwriting products is designed to fulfill any handwriting recognition need, starting with very small writing areas, such as the screen of a low-end mobile handset, through bigger input areas of touch pads, PDAs, smartphones and communicators.
With continuous, on-the-fly recognition at natural writing speeds, Nuance's handwriting recognition engine is the fastest and most convenient solution currently available for small mass-market devices, such as cellular handsets.
www.nuance.com /handwriting   (176 words)

  
  Handwriting EMR — Embedded into Medscribbler for a fast electronic medical record
The digitized handwriting can be converted to standard text through handwriting recognition, or it can remain as handwritten text.
Not only is this important for visual legibility on the screen, it is necessary for maximizing accuracy during the process of handwriting recognition.
Handwriting preserved as ink objects are fully supported as a defined and recognized "native data type" across Windows
www.medscribbler.com /handwriting_recognition.php   (1220 words)

  
  Forensic Evidence.com: Identification Evidence/Handwriting Evidence Meets Reliability Criteria (on U.S.v Paul)
The defense had also sought to present the testimony of law professor Mark Denbeaux, a frequent "expert witness" critic of handwriting analysis, but the trial court had granted the government's motion to bar him from testifying because he was not an expert on handwriting analysis.
Denbeaux's background did not qualify him as an expert, and his knowledge of the subject matter is so limited that it was not an abuse of discretion for the district court to exclude his testimony under rule 702.
1997), wherein the argument that handwriting identification evidence ought not to be admitted because it could not be shown to be reliable was also made and rejected.
www.forensic-evidence.com /site/ID/ID00004_8.html   (754 words)

  
 What is Handwriting Recognition?
Handwriting recognition is used most often to describe the ability of a computer to translate human writing into text.
The first of these handwriting recognition techniques, known as optical character recognition (OCR), is the most successful in the mainstream.
While the problems impeding the creation of a strong, reliable handwriting recognition system are great, recent breakthroughs indicate that it is only a matter of time before near-perfect recognition becomes a reality for the mainstream.
www.wisegeek.com /what-is-handwriting-recognition.htm   (451 words)

  
 ::::: CereSoft: FreeStyle Handwriting Recognition :::::
The dictionary is an important component since a default dictionary with 120,000 words can enhance the handwriting recognition engine's read rate from 5 to 15 percentage points, and the average accuracy could reach 99% per word for reasonably clean handwriting.
This comprehensive recognition capability is the natural consequence of freestyle handwriting recognition design, since human handwriting ranges from very neat print style to the very sloppy cursive style.
Since recognition of individual characters is important, the words must have reasonable legibility of their constituent characters.
www.ceresoft.com /freestyle.html   (1819 words)

  
 Handwriting Recognition on the HP 720 and Pocket PCs (Sep 01)   (Site not responding. Last check: )
Handwriting recognition can certainly be useful, even for those of us with keyboards.
Tap on the arrow-shaped icon in the system tray to change your handwriting orientation from horizontal (arrow pointing "up"-- away from the keyboard) to vertical (arrow pointing parallel to the keyboard--to the left or the right).
Recognition accuracy is somewhere between 85 and 95 percent.
www.pocketpcmag.com /Sep01/handwriting.stm   (1105 words)

  
 HRE API
This function allows the recognition engine to return a vector of specialized functions, which the application program accesses via a header file that was provided along with the recognition engine and that describes the custom interface.
Multiple recognition engines and multiple instances of the same recognition engines can be active in a program at one time, since instances of each individual engine are modelled as objects to which the application program has a handle.
The design was developed together with a number of handwriting recognition engine vendors representing a variety of technologies and natural languages.
playground.sun.com /pub/multimedia/handwriting/hre.html   (869 words)

  
 OCR: Handwriting
The constraints are mainly characterized by the types of handwriting, the number of scriptors, the size of the vocabulary and the spatial layout.
For other writing systems, character recognition is hard to achieve, as in the case of Kanji which is characterized by complex shapes and a huge number of symbols.
On the contrary, hand printed word recognition is more related to printed word recognition, the individual letters composing the word being usually much easier to isolate and to identify.
cslu.cse.ogi.edu /HLTsurvey/ch2node6.html   (1402 words)

  
 Information Retrieval of Imperfectly Recognized Handwriting
In general, recognition rates can be expected to go up as better recognition software becomes available, but at the same time, faster and less constrained writing styles (such as connected rather than discrete writing) will prevent perfect recognition from being achieved in the foreseeable future.
On the other hand, reaching the "expert" level of 1-2% recognition errors only required 65 minutes of practice with the pen machine, indicating that handwriting input is easier to learn than many other input devices, such as using a mouse.
Of course, errors in handwriting recognition are not random since the same characters tend to be misrecognized in the same way, but it anything, this consistency in the errors may be an advantage when using LSI, since it will increase the chance that misrecognized words get scaled correctly.
www.useit.com /papers/handwriting_retrieval.html   (2683 words)

  
 CEDAR Handwriting Recognition   (Site not responding. Last check: )
Handwriting recognition concerns the conversion of the analog signal of handwriting into a digital symbolic representation.
The OHR task is also referred to as off-line handwriting recognition or static handwriting recogntion in contrast to the one-dimensional case which is referred to as on-line or dynamic.
Due to the complexity of the task it was found necessary to focus on applications where the linguistic constraints were strong.
www.cedar.buffalo.edu /handwriting.html   (216 words)

  
 News - Nintendo licenses handwriting recognition software for DS // DS /// Eurogamer
Calling all Nintendo DS owners: your handheld will soon be able to recogniseyour very own handwriting thanks to a new deal with a company called Zi Corporation.
Nintendo has licensed Zi's Decuma handwriting recognition software, which is already used in various PDAs and smartphones.
Decuma is said to allow for "fast and natural handwriting input, enabling users to focus on the content rather than the writing.
www.eurogamer.net /article.php?article_id=61413   (226 words)

  
 Scott Teresi - A Study of Handwriting Recognition
In studying methods of handwritten character recognition, what better system to investigate and model than one which is already very successful at such a task–the human brain.
Many character recognition systems appear to suffer from similar maladies in that they can perform one segment of the overall task well but are unable to fully duplicate the richness of the human’s character recognition ability.
In address and zip code recognition, however, removal of noise such as postal symbols and markings on an envelope is not a trivial matter.
teresi.us /html/writing/handwriting.html   (2470 words)

  
 Handwriting Recognition   (Site not responding. Last check: )
As they allow natural interactions between man and machine without the use of the keyboard, speech and handwriting are increasingly gaining acceptance as input to computer devices.
Although speech is better suited for bulk data entry, handwriting is an attractive input medium in noisy acoustic environments, when a quiet operation is desired, or where privacy is a primary concern.
The handwriting data recorded with a electronic tablet or digitizer will be sent to a recognizer that will check the similarity of the customer's signature with the one stored in a central database.
www.vision.caltech.edu /CNS248/Signature/signatures.html   (215 words)

  
 IBM Research | Pen Technologies
The problem of recognizing writing in this case is referred to as on-line handwriting recognition, as opposed to off-line handwriting recognition where handwriting information is captured as an image.
The pressure of the pen tip on the paper may also be used during recognition.
The IBM handwriting recognizer first attempts to sort and collect the electronic ink into a sequence of strokes belonging to a word or phrase on a single line.
www.research.ibm.com /electricInk   (682 words)

  
 Handwriting Recognition
Handwriting is relatively fast (20-30 wpm -- which is better than most people type), it's efficient, and you can use handwriting recognition when it's impractical to speak aloud.
Handwriting recognition isn't quite as accurate as speech recognition, but it's more accurate than eighth-grade typing -- by far.
Because it uses standard handwriting, there is almost no learning curve for eighth graders, thanks to our excellent elementary teachers who have painstakingly taught basic handwriting skills.
www.digitalcommunicationtools.com /handwriting/index.htm   (2137 words)

  
 Handwriting recognition system for Windows CE (HPC, PPC, Handheld 2000)
The PenReader adds handwriting input support to an operating system, making your work with a Pocket PC more comfortable and quicker.
In addition to this PenReader core has two additional recognition engines that are adjusted for Cyrillic (Russian, Bulgarian) and for Greek alphabets.
PenReader is the only handwriting recognition system on the market that supports more than one language.
wince-software.penreader.com /de/PenReader.html   (392 words)

  
 Forensic Evidence.com: Identification Evidence- E-Signatures...Bane or Boon to Handwriting Experts?
By the signing of a Congressional Bill, on June 30, to give electronic signatures the same force and effect as pen-and-ink signatures, President Clinton paved the way for a new era moving society away from old-fashioned paper signatures to their computer created and stored equivalents.
Handwriting examiners seem uncertain of how it will affect their profession.
At the August, 1999, joint meeting of the American Society of Questioned Document Examiners (ASQDE) and the International Association of Forensic Science (IAFS), held at UCLA in Los Angeles, California, a special session was devoted to the problems that e-signatures may present to document examiners.
www.forensic-evidence.com /site/ID/ID_eSignature.html   (772 words)

  
 Handwriting Recognition
Handwriting recognition refers to the ability of a computer to receive intelligible written input.
Handwriting recognition is commonly used as an input method for PDAs.
Although handwriting recognition is an input form that the public had become accustomed to, it has not achieved widespread use in either desktop computers or laptops.
www.funsms.net /handwriting_recognition.htm   (734 words)

  
 Voice-Activating Your Office > Office Does Handwriting Recognition, Too   (Site not responding. Last check: )
Handwriting recognition is not installed during a standard installation.
Use your mouse or whatever handwriting input device you have to hand write your text as you write naturally—print, write in cursive, or use a combination of the two styles.
Handwriting automatically recognizes your text and inserts it into your document whenever you write enough information that can be recognized as text, run out of room onscreen, or pause for a time after writing some text.
www.informit.com /articles/article.asp?p=139433&seqNum=8   (701 words)

  
 Handwriting recognition that really works - TechUpdate - ZDNet   (Site not responding. Last check: )
Handwriting is natural, quick, and can be done in just about any position.
But to date, even the best of the handwriting recognition systems require painstaking adherence to the software's idiosyncrasies, which usually means abandoning anything close to your natural handwriting style.
The input areas on most PDAs are fairly limited, and with most recognition systems you have to be conscious of when you're about to run out of space so that you can transfer the text and get a clean slate to continue writing.
techupdate.zdnet.com /techupdate/stories/main/0,14179,2898155,00.html   (708 words)

  
 Turkish Handwriting recognition Software
Handwriting recognition is the problem of recognizing a handwritten word; the input may be obtained via scanning (offline recognition) or from a digitizing tablet (online recognition).
Whereas recognizing machine print (OCR) is solved for clean documents, the problem still remains for noisy, small font documents, and to a larger extent, handwriting recognition.
This makes lexicon-based recognition approaches, where the most likely word is selected among all the alternatives in a lexicon, unsuitable for Turkish.
students.sabanciuniv.edu /~akindiroglu/project_102_page.htm   (242 words)

  
 Meatball Wiki: HandwritingRecognition   (Site not responding. Last check: )
Speech recognition for dictation could be quite useful, but making a computer understand free-form spoken English (or any other human language) and correctly interpret it as commands doesn't seem like a good idea.
Non-trained recognition is like the cell phone examples--it is optimized to be usable by most people for many words, generally in a very limited context.
Speech recognition software is very popular in the legal and medical fields which have large jargon-filled vocabularies (although it is usually used to assist the person transcribing the audio recording).
www.usemod.com /cgi-bin/mb.pl?HandwritingRecognition   (1297 words)

  
 Natural Handwriting Recognition
Recognition: This task consists of assigning relative confidences to all of the allowed classes for each character-image candidate.
To deliver superior recognition accuracy cross validation of part in legal and courtesy fields is fulfilled.
Recognition of the legal amount field and cross validation of courtesy and legal amount fields improves reading rate up to 78% - 85%.
www.infotivity.com /hwr.htm   (1388 words)

  
 Off-line handwriting recognition - Definition, explanation
Off-line handwriting recognition involves the automatic conversion of text in an image I(x,y) into letter codes which are usable within computer and text-processing applications.
However, the classification of characters is just one of the functions of a complete handwriting recognition system.
An alternative method uses not only the shape as can be sensed optically, but also utilizes the movements of the pen-tip (Xt,Yt) in time: on-line handwriting recognition.
www.calsky.com /lexikon/en/txt/o/of/off_line_handwriting_recognition.php   (118 words)

  
 Dr. Dobb's | DDJ Handprinting Recognition Contest Wrap-Up | January 1, 1993
The challenge DDJ posed to you was formidable: Create a recognition engine for handprinted text that rivals the one we published in April 1992.
His recognition engine uses fuzzy logic, setting up an array of 55 attributes per stroke (as well a few attributes that are global to the character).
It cannot easily be translated to an off-line algorithm, which only uses a scanned picture of the character during the training and recognition phase, although it is possible.
www.ddj.com /184408923?pgno=2   (4186 words)

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