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Topic: Handwriting recognition



  
 Handwriting
PenReader is plug-and-play handwriting recognition utility which doesn't require training for particulare handwriting.
Handwriting recognition utility that supports 28 European languages simulteniously.
Characters may be entered using both an on-screen keyboard and your natural handwriting for drawing symbols inside the recognition box.
http://www.hpc.net/file.asp?ObjectID=46869   (1079 words)

  
 Patent 5768417: Method and system for velocity-based handwriting recognition
The prior art also teaches frame-based handwriting recognition systems.
Some practitioners of the prior art have attempted to recognize handwriting by using a slightly modified method of conventional, or non-temporal, pattern recognition in which a sequence of input samples is partitioned with a tapped delay line.
A stroke is defined as the coordinate-pairs sampled from the handwriting input over a period of time beginning when the pen 50 initially contacts the writing surface of the tablet 52 and ending when the pen subsequently breaks contact with the writing surface.
http://www.freepatentsonline.com/5768417.html   (1079 words)

  
 Handwriting recognition
Decuma's handwriting recognition software enables people to write as they normally do with pen and paper.
This recognition is also very robust for shaky handwriting, which is vital in handheld devices.
The handwriting recognition software developed by Decuma is not only based on a superior recognition technology, but also on the ability to recognize an individual's unique writing style.
http://www.zicorp.com/handwritingrecognition.htm   (475 words)

  
 Keith Price Bibliography On-Line Cursive Script Recognition Systems
Tappert, C.C. Suen, C.Y., and Wakahara, T. The State of the Art in On-Line Handwriting Recognition,
Nathan, K. Subrahmonia, J. Perrone, M. Parameter Tying in Writer Dependent Recognition of On-Line Handwriting,
El-Nasan, A. Nagy, G. On-line handwriting recognition based on bigram co-occurrences,
http://iris.usc.edu/Old-Notes/bibliography/char1009.html   (867 words)

  
 Handwriting recognition -- Facts, Info, and Encyclopedia article
Handwriting recognition -- Facts, Info, and Encyclopedia article
Handwriting recognition is commonly used as an input method for (A lightweight consumer electronic device that looks like a hand-held computer but instead performs specific tasks; can serve as a diary or a personal database or a telephone or an alarm clock etc.) PDAs.
Although handwriting recognition is an input form that the public has become accustomed to, it has not achieved widespread use in either desktop computers or laptops.
http://www.absoluteastronomy.com/encyclopedia/h/ha/handwriting_recognition.htm   (598 words)

  
 Keith Price Bibliography Cursive Script Recognition Systems
Mending broken handwriting with a macrostructure analysis method to improve recognition,
Ruiz-Pinales, J. Lecolinet, E. Cursive Handwriting Recognition Using the Hough Transform and a Neural Network,
Procter, S. Illingworth, J. Mokhtarian, F. Cursive handwriting recognition using hidden Markov models and a lexicon-driven level building algorithm,
http://iris.usc.edu/Vision-Notes/bibliography/char1006.html   (598 words)

  
 Scott Teresi - A Study of Handwriting Recognition
Scott Teresi - A Study of Handwriting Recognition
The advantages of the multi-layered model have been shown through the robust performance exhibited by this practical commercial solution to on-line handwriting recognition.
Given this arsenal of tools, today’s broad range of multi-layered handwriting recognition systems show great promise in attaining levels of recognition approaching that of humans in some cases.
http://teresi.us/html/writing/handwriting.html   (598 words)

  
 Citations: Allograph Adjacency Constraints for Cursive Script Recognition - Parizeau, Plamondon (ResearchIndex)
Parizeau and R. Plamondon, "Allograph Adjacency Constraints for Cursive Script Recognition," Third International Workshop on Frontiers in Handwriting Recognition (Pre-Proceedings), pp.
Citations: Allograph Adjacency Constraints for Cursive Script Recognition - Parizeau, Plamondon (ResearchIndex)
Their technique requires that ascenders and descenders be identified before the constraints are computed, as the constraints are computed on the main body of a character: as long as the segmentation recognition method can isolate the bounding box around the main body of the different....
http://citeseer.ist.psu.edu/context/436405/0   (598 words)

  
 IMDSPL1.htm
We explore a novel approach for handwriting recognition tasks whose intrinsic vocabularies are too large to be applied fully as word-set constraints during recognition.
HMMs have been widely used in applications related to speech and handwriting recognition with great success.
This paper addresses the problem of Hidden Markov Model (HMM) topology estimation in the context of on-line handwriting recognition.
http://mti.xidian.edu.cn/multimedia/2002/supp/icassp2001/MAIN/IMDSPL1.htm   (598 words)

  
 Data-driven Design of HMM Topology for On-line Handwriting Recognition - Lee, Kim, Kim (ResearchIndex)
Data-driven Design of HMM Topology for On-line Handwriting Recognition (2000)
Abstract: Although HMM is widely used for on-line handwriting recognition, there is no simple and wellestablished method of designing the HMM topology.
20 HMM Based On-Line Handwriting Recognition (context) - Hu, Brown - 1996
http://citeseer.ist.psu.edu/lee00datadriven.html   (598 words)

  
 Publications
Blumenstein, 2000, Intelligent Techniques for Handwriting Recognition, Doctoral Dissertation, Griffith University, Australia.
Verma, M. Blumenstein, and S. Kukarni, 1998, Recent Achievements in Off-line Handwriting Recognition Systems, International Conference on Computational Intelligence and Multimedia Applications (ICCIMA '98), Melbourne, Australia.
Blumenstein, and B. Verma, 1998, Conventional Vs. Neuro-Conventional Segmentation Techniques for Handwriting Recognition: A Comparison, Proceedings of the Second IEEE International Conference on Intelligent Processing Systems, Gold Coast, Australia, pp.
http://www.int.gu.edu.au/~mblum/publications.html   (598 words)

  
 National Institute for Technology and Liberal Education
Microsoft Journal is the new handwriting manipulation and recognition software designed to be used with the special electrostatic pens and LCD screens.
Unlike speech recognition software, Journal does not "learn" your handwriting style.
For those with a tablet input device, Apple's handwriting recognition technology is included in OS X v10.2, although it is not receiving much media attention.
http://www.nitle.org/resources/issues/tabletpc.htm   (598 words)

  
 Handwriting Drawings PATTERN RECOGNITION RECONNAISSANCE DES FORMES FAURE KEUSS LORETTE VINTER
Handwriting Drawings PATTERN RECOGNITION RECONNAISSANCE DES FORMES FAURE KEUSS LORETTE VINTER
Handwriting recognition based on the human reading process
The published selection results from a rigourous choice out of about one hundred presentations made at the 6th International IGS Conference on Handwriting and Drawing which was held in Paris in July 1993.
http://europia.org/edition/livres/doc/AHD.HTM   (598 words)

  
 Background for Handwriting Recognition/Signature Verification
This is a system to deal with handwriting recognition, but it has applications in both signature verification and handwriting recognition.
The use of HMM's has been more and more popular in speech recognition and for handwriting recognition.
This approach is not suited for children or handwriting with tremor because it is sensitive to speed and regularity.
http://www.lems.brown.edu/~dfs/background.htm   (3474 words)

  
 OCR Directed Study
Guyon,I and Schenkel,M and Denker,J.,Chapter 7, "Overview and Synthesis of On-Line Cursive Handwriting Recognition Techniques", Handbook of Character Recognition and Document Image Analysis,World Scientific,1997.
A Handwriting Model for Syntactic Recognition of Cursive Script
International Conference on Pattern Recognition, The Hague, vol.
http://torch.cs.dal.ca/~klassen/ocr/syllabus.htm   (3474 words)

  
 Citations: An adaptive system for handwriting recognition - Tappert (ResearchIndex)
A Handwriting Recognition System Based on Properties of the..
Tappert, C. An adaptive system for handwriting recognition.
....Purpose Before a cursive script recognition system is ready to work, it has to learn how to segment a writing pattern in the to be recognized allographs.
http://citeseer.ist.psu.edu/context/232727/0   (3474 words)

  
 icdar,Fifth International Conference on Document Analysis and Recognition (ICDAR'99)
Non-Supervised Determination of Allograph Sub-Classes for On-Line Omni-Scriptor Handwriting Recognition
"Non-Supervised Determination of Allograph Sub-Classes for On-Line Omni-Scriptor Handwriting Recognition," icdar, vol. 00,  no. ,  p.
The "problem of the allographs" specific of the dynamic handwriting in omni-scriptor context renders the implementation of "classical" clustering algorithms particularly delicate because it introduces the notion of heterogeneous classes characterized by strongly variable example densities.
http://csdl.computer.org/comp/proceedings/icdar/1999/0318/00/03180438abs.htm   (3474 words)

  
 DBLP: Rejean Plamondon
Rejean Plamondon, Sargur N. Srihari: On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey.
Caroline Barrière, Rejean Plamondon: Human identification of letters in mixed-script handwriting: an upper bound on recognition rates.
Robert: Learning handwriting with pen-based systems: computational issues.
http://informatik.uni-trier.de/~ley/db/indices/a-tree/p/Plamondon:Rejean.html   (3474 words)

  
 Claus Bahlmann - frog on hand - handwriting recognition
The name is an acronym for "freiburg recognition of on-line handwriting".
frog on hand is name of our on-line handwriting recognition project.
On-line handwriting data are a dynamic, digitized representation of a (digital) pen movement, generally describing sequential information about position, velocity, acceleration or even pen angles as a function of time.
http://lmb.informatik.uni-freiburg.de/people/bahlmann/frog.en.html   (3474 words)

  
 IEEE Transactions on Pattern Analysis and Machine Intelligence,June 1997 (Vol. 19, No. 6)
For each of the letters and the ligatures we create one HMM that models temporal and spatial variability of handwriting.
Online recognition of cursive words is a difficult task owing to variable shape and ambiguous letter boundaries.
Given the network, the problem of recognition is formulated into that of finding the most likely path from the start node to the end node.
http://csdl.computer.org/comp/trans/tp/1997/06/i0623abs.htm   (3474 words)

  
 Noise News for Week of February 13, 2000
The Fonix suite of products and services, including speech recognition and handwriting recognition technology, provide natural, intuitive solutions that allow people and their technological tools to speak to and interact with each other in human terms.
The article said that the Department of the Environment, Transport and Regions (DETR) publishes Birmingham's noise map for ƒ17.00 and is on the DETR website - http:/www.environment.detr.gov.uk/ noise.
The editorial mentioned that the Leesburg City Commission is examining various noise control measures, with "boom boxes" currently at the top of their list, a noise that the writer of the editorial concurred was a bother.
http://www.nonoise.org/news/2000/feb13.htm   (17283 words)

  
 Ligature Ltd.
A world leader in developing, marketing and support of Optical Character Recognition (OCR) technologies and applications, Ligature develops, markets and supports Optical Character Recognition (OCR) technologies and applications, standing out in the field of OCR because of its unique approach to development and innovation.
In addition to our devoted Marketing and Sales department, the Ligature team is comprised of mathematicians, scientists and engineers who focus on three areas:
Copyright © 2005 Ligature Ltd. All rights reserved.
http://www.ligatureltd.com   (17283 words)

  
 New Scientist Breaking News - Software shows uniqueness of handwriting
A new study using handwriting recognition software claims to show that everyone's handwriting is unique and that using such evidence in court is therefore scientifically justifiable.
Srihari's software characterises people's handwriting using 11 features, including letter size, swirls and pen pressure.
"The novelty was showing that handwriting is individual, though not who a sample belongs to." says Venu Govindaraju also at SUNY, but who was not involved in the study.
http://www.newscientist.com/article.ns?id=dn2349   (433 words)

  
 article116a.html
In the US, it is the only center in a university where researchers in artificial intelligence apply pattern- recognition techniques to the problem of reading handwriting.
Handwriting of different individuals is truly distinct, according to computer scientists at the University of Buffalo who have provided the first peer-reviewed scientific validation that each person's handwriting is individual, according to a report to be published in the Journal of Forensic Sciences in July.
Only `you' can have `your' own handwriting: Study
http://www.cedar.buffalo.edu/pub_docs/article116a.html   (401 words)

  
 Learning Model Structure from Data: An Application to On-Line Handwriting
We present a learning strategy for Hidden Markov Models that may be used to cluster handwriting sequences or to learn a character model by identifying its main writing styles.
We also apply our unsupervised learning scheme on on-line handwritten signals for allograph clustering as well as for learning HMM models for handwritten digit recognition.
Learning Model Structure from Data: An Application to On-Line Handwriting
http://elcvia.cvc.uab.es/journal/publish.php?art=a2004048-3   (401 words)

  
 3D space online handwriting character recognition
In contrast to 2D handwriting character recognition system with pen and tablet, this system provides more flexible way to input characters with smaller device.
The research goal is to develop online handwriting character recognizer that recognizes characters written in 3D space.
Develop new ligature model that models many kinds of cursive ligature
http://ai.kaist.ac.kr/~kimdh/3DSpace.htm   (401 words)

  
 Software Companies in Israel -
smARTspeak and smARTwriter compact software for voice and handwriting recognition.
Electronic pen that captures handwriting on any surface onto any computing device in real time.
http://www.science.co.il/SoftwareCo.asp   (401 words)

  
 Using Tablet PC: Handwriting Recognition 101
Although handwriting recognition is very cool, the savvy Tablet PC user employs all the tools at his or her disposal to get the best results for entering text.
Handwriting recognition is used in several places on your Tablet PC—for example, all your handwriting in a Windows Journal note is automatically recognized for later searching—but the most common use of handwriting recognition is within Input Panel.
In this column, I'll give you an overview of how handwriting recognition in Windows XP Tablet PC Edition works, provide tips on getting it to work better, and explain how to get the best results from the writing pad in Input Panel.
http://www.microsoft.com/windowsxp/expertzone/columns/vanwest/03may28hanrec.asp   (1985 words)

  
 HP Labs India : Research : Pen-based Solutions and Handwriting Recognition
The main motivation was to allow the creation of annotated datasets of handwriting in different scripts from the emerging markets by different research groups (including our own) in a standard format that allowed them to be shared for the creation of (online) handwriting recognition systems in "neglected" scripts.
For instance, in addition to the pen position over time, InkML allows recording of information about transducer device characteristics and detailed dynamic behavior to support applications such as handwriting recognition and authentication.
For a new script, initial annotation would generally have to be purely manual, but may be used to "bootstrap" handwriting recognition which can then be used for semi-automated labeling of the remaining data.
http://www.hpl.hp.com/india/research/lt-penhw-interfaces-1linguistics-hwdataset.html   (826 words)

  
 How to install and configure handwriting recognition in Windows XP
Handwriting recognition is removed for the language that you specified.
Handwriting recognition is added as a text service for the language that you specified.
Handwriting recognition requires computer memory and can affect your computer's performance.
http://support.microsoft.com/default.aspx?scid=kb;en-us;306906   (1271 words)

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