تصفح حسب المؤلف "Tahir, M.A."
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Automatic classification of colorectal and prostatic histologic tumor images using multiscale multispectral local binary pattern texture features and stacked generalization
Peyret R.; Bouridane A.; Khelifi F.; Tahir M.A.; Al-Maadeed S. ( Elsevier B.V. , 2018 , Article)This paper proposes a new multispectral multiscale local binary pattern feature extraction method for automatic classification of colorectal and prostatic tumor biopsies samples. A multilevel stacked generalization ... -
Novel geometric features for off-line writer identification
Al-Maadeed, S.; Hassaine, A.; Bouridane, A.; Tahir, M.A. ( Springer Verlag , 2014 , Article)Writer identification is an important field in forensic document examination. Typically, a writer identification system consists of two main steps: feature extraction and matching and the performance depends significantly ... -
Off-line writer identification using an ensemble of grapheme codebook features
Khalifa, E.; Al-Maadeed, S.; Tahir, M.A.; Bouridane, A.; Jamshed, A. ( Elsevier , 2015 , Article)Off-line writer identification is the process of matching a handwritten sample with its author. Manual identification is very time-consuming because it requires a meticulous comparison of character shape details. Consequently ... -
Off-line writer identification using multi-scale local binary patterns and SR-KDA
Khalifa E.; Al-Maadeed, Somaya; Tahir M.A.; Khelifi F.; Bouridane A. ( IEEE , 2013 , Conference Paper)Writer identification is becoming an increasingly important research topic especially in forensic and biometric applications. This paper presents a novel method for performing offline write identification by using multi-scale ...