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Displaying 1-17 out of 17 total
Dynamic Observations and Dynamic State Termination for Off-Line Handwritten Word Recognition Using HMM
Found in: Frontiers in Handwriting Recognition, International Workshop on
By Y. Al-Ohali, M. Cheriet, C. Y. Suen
Issue Date:August 2002
pp. 314
HMM has been successfully used to model 1-D data, e.g. voice signals. Their use to model 2-D patterns was not as successful due to a major difficulty in describing the 2-D data using 1-D observation sequences. In this paper, we discuss the importance of th...
 
Classification of Time-Series Data Using a Generative/Discriminative Hybrid
Found in: Frontiers in Handwriting Recognition, International Workshop on
By K. T. Abou-Moustafa, M. Cheriet, C. Y. Suen
Issue Date:October 2004
pp. 51-56
Classification of Time-Series data using discriminative models such as SVMs is very hard due to the variable length of this type of data. On the other hand generative models such as HMMs have become the standard tool for modeling Time-Series data due to th...
 
Coupling observation/letter for a Markovian modelisation applied to the recognition of Arabic handwriting
Found in: Document Analysis and Recognition, International Conference on
By H. Miled, C. Olivier, M. Cheriet, Y. Lecoutier
Issue Date:August 1997
pp. 580
A perfect segmentation method would be capable to segment words in letters. It would be then possible to define a process on letters. Unfortunately, such a method is almost impossible to obtain due to the nature of handwritten words. To tackle this problem...
 
Shape-Based Alphabet for Off-line Arabic Handwriting Recognition
Found in: Document Analysis and Recognition, International Conference on
By F. Menasri, N. Vincent, M. Cheriet, E. Augustin
Issue Date:September 2007
pp. 969-973
This article describes an off-line handwritten Arabic words recognition system. Both explicit grapheme segmen- tation and feature extraction are originally designed for Latin cursive handwriting. The recognizer itself is a Hybrid HMM/NN. We introduce a new...
 
Introducing Termination Probabilities to HMM
Found in: Pattern Recognition, International Conference on
By Y. Al-Ohali, M. Cheriet, C. Y. Suen
Issue Date:August 2002
pp. 30319
HMM is very well suited to model sequential patterns. This paper introduces a new parameter, the termination probability, to HMM. The new parameter provides a better initialization for the backward variable during the training and evaluation phases. This i...
 
Building a Perception Based Model for Reading Cursive Script
Found in: Document Analysis and Recognition, International Conference on
By M. Cote, E. Lecolinet, M. Cheriet, C.Y. Suen
Issue Date:August 1995
pp. 898
No summary available.
 
Toward a Zero-Carbon Network: Converging Cloud Computing and Network Virtualization
Found in: IEEE Internet Computing
By M. Lemay, Kim-Khoa Nguyen,Bill St. Arnaud,M. Cheriet
Issue Date:November 2012
pp. 51-59
Reducing greenhouse gas (GHG) emissions is one of the most challenging research topics in ICT because of people's overwhelming use of electronic devices. Current solutions focus mainly on efficient power consumption at the micro level; few consider large-s...
 
Length Increasing Active Contour for the Segmentation of Small Blood Vessels
Found in: Pattern Recognition, International Conference on
By D. Rivest-Hénault, M. Cheriet, S. Deschênes, C. Lapierre
Issue Date:August 2010
pp. 2796-2799
A new level-set based active contour method for the segmentation of small blood vessels and other elongated structures is presented. Its main particularity is the presence of a length increasing force in the contour driving equation. The effect of this for...
 
Efficient Estimation of Pen Trajectory from Off-Line Handwritten Words
Found in: Pattern Recognition, International Conference on
By Y. Al-Ohali, M. Cheriet, C. Y. Suen
Issue Date:August 2002
pp. 30323
This paper presents an easy and efficient method to estimate the pen trajectory based on minimizing the pen movement. Given start and end vertices, the complexity of the proposed algorithm is linear. In addition, the algorithm clearly identifies alternativ...
 
KMOD — A Tw o-Parameter SVM Kernel for Pattern Recognition
Found in: Pattern Recognition, International Conference on
By N. E. Ayat, M. Cheriet, C. Y . Suen
Issue Date:August 2002
pp. 30331
It has been shown that Support Vector Machine theory optimizes a smoothness functional hypothesis through kernel application. We present KMOD a two - parameter SVM kernel with distinctive properties of good discrimination between patterns while reserving t...
 
Content Analysis in Document Images: A Scale Space Approach
Found in: Pattern Recognition, International Conference on
By Y. Fataicha, M. Cheriet, J. Y. Nie, C. Y. Suen
Issue Date:August 2002
pp. 30335
With the growing interest in automatic transformation of paper document to its electronic version, geometrical and logical structures have become an active research area for a decade. Nowadays, kernel scale space has been widely adopted as the most promisi...
 
Visual Data Extraction from Bi-Level Document Images Using a Generalized Kernel Family with Compact Support, in Scale-Space
Found in: Document Analysis and Recognition, International Conference on
By L. Remaki, M. Cheriet
Issue Date:September 1999
pp. 609
This paper presents a generalization of a new kernel family with compact support in scale space which we recently published. We have shown that the proposed kernels are able to recover the information loss when using the Gaussian kernel while they drastica...
 
Dynamical Morphological Processing: A Fast Method for Base Line Extraction
Found in: Pattern Recognition, International Conference on
By J.N. Said, M. Cheriet, C.Y. Suen
Issue Date:August 1996
pp. 8
No summary available.
 
A formal model for document processing of business forms
Found in: Document Analysis and Recognition, International Conference on
By M. Cheriet, J.N. Said, C.Y. Suen
Issue Date:August 1995
pp. 210
We present a formal model for processing gray-scale images of business forms such as bank cheques. The formal model is based on a new hybrid-based approach namely the base lines. In fact, to segment handwritten and hand-printed data from bank cheques, know...
 
Information Retrieval Based on OCR Errors in Scanned Documents
Found in: Computer Vision and Pattern Recognition Workshop
By Y. Fataicha, M. Cheriet, J. Y. Nie, C. Y. Suen
Issue Date:June 2003
pp. 25
An important proportion of documents are document images, i.e. scanned documents. For their retrieval, it is important to recognize their contents. Current technologies for optical character recognition (OCR) and document analysis do not handle such docume...
 
Empirical Error based Optimization of SVM Kernels: Application to Digit Image Recognition
Found in: Frontiers in Handwriting Recognition, International Workshop on
By N. E. Ayat, M. Cheriet, C. Y. Suen
Issue Date:August 2002
pp. 292
We address the problem of optimizing kernel parameters in Support Vector Machine modeling, especially when the number of parameters is greater than one as in polynomial kernels and KMOD, our newly introduced kernel. The present work is an extended experime...
 
KMOD - A New Support Vector Machine Kernel with Moderate Decreasing for Pattern Recognition. Application to Digit Image Recognition
Found in: Document Analysis and Recognition, International Conference on
By N.E. Ayat,M. Cheriet,L. Remaki,C.Y. Suen
Issue Date:September 2001
pp. 1215
Abstract: A new direction in machine learning area has emerged from Vapnik's theory in support vectors machine and its applications on pattern recognition. In this paper, we propose a new SVM kernel family (KMOD) with distinctive properties that allow bett...
 
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