Results 201 to 210 of about 5,213 (261)

Leveraging Digitization, Archiving and Artificial Intelligence to Re-examine Predictors of Sustained Mental Health Care Engagement in Ugandan First-Episode Psychosis Patients: A Study Protocol

Mwesiga EK, Akena D, Nakigudde J, Aujo BT, Ndigamanya RI, Nanteza A, Mark M, Kaggwa AK, Balinga S, Nanyonga A, Mutamba BB, Auma R, Kebirungi E, Lukwata H, Oyat PP, Ssembajjwe W.   +15 more
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Handwriting Recognition with Multigrams

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), 2017
We introduce a novel handwriting recognition approach based on sub-lexical units known as multigrams of characters, that are variable lengths characters sequences. A Hidden Semi Markov model is used to model the multigrams occurrences within the target language corpus.
Wassim Swaileh, Thierry Paquet, Yann Soullard, Pierrick Tranouez   +3 more
openaire   +2 more sources

Trends in Handwriting Recognition

2010 3rd International Conference on Emerging Trends in Engineering and Technology, 2010
The field of Handwriting recognition has evolved over the past three or four decades into a broad based activity which has had a measurable impact on applications. Some of the most significant practical impact has occurred in the past decade in handwriting recognition.
Jayashree R. Prasad, Uday V. Kulkarni
openaire   +1 more source

On-line handwriting recognition

Proceedings of the IEEE, 1992
For large-alphabet languages, like Japanese, handwriting input using an online recognition technique is essential for input accuracy and speed. However, there are serious problems that prevent high recognition accuracy of unconstrained handwriting. First, the thousands of ideographic Japanese characters of Chinese origin (called Kanji) can be written ...
Toru Wakahara, Hiroshi Murase, Kazumi Odaka   +2 more
exaly   +3 more sources

Handwriting and pattern recognition

IEEE Transactions on Information Theory, 1962
Handwriting can be characterized as a sequence of basic strokes connected according to rule. Handwriting so generated approximates that of humans very closely. Such a matching process can be used as the fundamental principle in a handwriting recognizer.
exaly   +2 more sources

EVOLUTIONARY PROTOTYPING FOR HANDWRITING RECOGNITION

International Journal of Pattern Recognition and Artificial Intelligence, 2007
A new prototyping method based on the evolutionary computation paradigm and on the concept of Vector Quantization is proposed. It uses a specifically devised evolutionary algorithm for evolving a set of prototype feature vectors and does not require any a priori knowledge about either the actual number of prototypes or the statistical properties of the
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella   +2 more
openaire   +4 more sources

Arabic Handwriting Recognition with Wavelets

2021
In this paper, we explore wavelet analysis for recognizing Arabic handwriting. Thus, two main studies are undertaken. First, we use some wavelets namely (db4, sym4 and coif1) and related techniques of feature extraction for the purpose of recognition of Arabic handwritten words’ images coming from the IFN/ENIT database.
Zahia Tamen, Dalila Boughaci, Habiba Drias   +2 more
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Speech and Handwriting Recognition

2015
What the reader should know to understand this chapter \(\bullet \) Hidden Markov models (Chap. 10). \(\bullet \) Language models (Chap. 10). \(\bullet \) Bayes decision theory (Chap. 3).
CAMASTRA, Francesco, Vinciarelli, Alessandro   +1 more
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An unconstrained handwriting recognition system

International Journal on Document Analysis and Recognition, 2002
In this paper, an integrated offline recognition system for unconstrained handwriting is presented. The proposed system consists of seven main modules: skew angle estimation and correction, printed-handwritten text discrimination, line segmentation, slant removing, word segmentation, and character segmentation and recognition, stemming from the ...
Ergina Kavallieratou, Nikos Fakotakis, George K. Kokkinakis   +2 more
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