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Off-line writer identification using multi-scale local binary patterns and SR-KDA
(
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 ...
Automatic classification of colorectal and prostatic histologic tumor images using multiscale multispectral local binary pattern texture features and stacked generalization
(
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 ...