Cheriet, Mohamed - Resultados de la búsqueda - Depósito Digital de Documentos de la UAB

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Resultados globales: 4 registros encontrados en 0.02 segundos.
Artículos, Encontrados 4 registros

Artículos	Encontrados 4 registros

9 p, 2.8 MB

Handwritten Digit Recognition by Fourier-Packet Descriptors / Berthiaume, Vincent (Laboratory for Imagery, Vision and Artificial Intelligence (Montreal, Canadà)) ; Cheriet, Mohamed (Synchromedia Laboratory for Multimedia Communication in Telepresence (Montreal, Canadà))
Any statistical pattern recognition system includes a feature extraction component. For character patterns, several feature families have been tested, such as the Fourier-Wavelet Descriptors. We are proposing here a generalization of this family: the Fourier-Packet Descriptors. [...]
2012 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.476
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 11, Núm. 1 (2012) , p. 68-76

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14 p, 858.2 KB

Gray-level Texture Characterization Based on a New Adaptive Nonlinear Auto-Regressive Filter / Sayadi, Mounir (ESSTT. SICISI Unit (Tunísia)) ; Sakrani, Samir (ESSTT. SICISI Unit (Tunísia)) ; Fnaiech, Farhat (ESSTT. SICISI Unit (Tunísia)) ; Cheriet, Mohamed (École de technologie supérieure, Notre-Dame (Montreal, Canadà))
In this paper, we propose a new nonlinear exponential adaptive two-dimensional (2-D) filter for texture characterization. The filter coefficients are updated with the Least Mean Square (LMS) algorithm. [...]
2008 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.158
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 7 n. 1 (2008) p. 40-53

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15 p, 1.3 MB

Combining Model-based and Discriminative Approaches in a Modular Two-stage Classification System : application to Isolated Handwritten Digit Recognition / Milgram, Jonathan (Université du Québec. École de Technologie Supérieure) ; Sabourin, Robert (Université du Québec. École de Technologie Supérieure) ; Cheriet, Mohamed (Université du Québec. École de Technologie Supérieure)
The motivation of this work is based on two key observations. First, the classification algorithms can be separated into two main categories: discriminative and model-based approaches. Second, two types of patterns can generate problems: ambiguous patterns and outliers. [...]
2005 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.92
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 5 n. 2 (2005) p. 1-15

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16 p, 1.5 MB

SKCS-A Separable Kernel Family with Compact Support to improve visual segmentation of handwritten data / Ben Braiek, Ezzedine (Department of Electrical Engeneering, CEREP , ESSTT (Tunísia)) ; Cheriet, Mohamed (Department of GPA, LIVIA, ETS (Montreal, Canadà)) ; Doré, Vincent (Department of GPA, LIVIA, ETS (Montreal, Canadà))
Extraction of pertinent data from noisy gray level document images with various and complex backgrounds such as mail envelopes, bank checks, business forms, etc. . . remains a challenging problem in character recognition applications. [...]
2005 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.81
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 5 n. 1 (2005) p. 14-29

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