Hybrid Tow Feature Extraction Descriptor For Shape Pattern Recognition - Jabbar, Mohammed;Maad, Mustafa;Salih, Yassen
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Features extracted from the image. In this work, a novel method is proposed to extract an effective and sufficient features from the images. Applying normalizing technique to the images. Finally we normalize the extracted features and limited their values in the range of "zero" and "one" and "one". This work has contributed in extracting an excellent features that fully describe the shape of the images in any orientation using a hybrid method of Gabor texture features and grey-level co-occurrence matrices.

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Produktbeschreibung
Features extracted from the image. In this work, a novel method is proposed to extract an effective and sufficient features from the images. Applying normalizing technique to the images. Finally we normalize the extracted features and limited their values in the range of "zero" and "one" and "one". This work has contributed in extracting an excellent features that fully describe the shape of the images in any orientation using a hybrid method of Gabor texture features and grey-level co-occurrence matrices.
Autorenporträt
M. Jabbar was born in Iraq. He obtained his Bachelors in Computer Engineering Technology from Iraq in 2012.He received his Master of Engineering (Communication and Computer) from University Kebangsaan Malaysia (UKM), Malaysia in 2015.Currently serving as lecturer in the Department of Computer Engineering Techniques at Al Maarif University College.