Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Rubab Mehboob"'
Publikováno v:
IEEE Access, Vol 7, Pp 55206-55228 (2019)
In this paper, a novel feature descriptor named “correlated microstructure descriptor (CMSD)” is proposed for image retrieval. CMSD represents high level semantics by identifying microstructures via establishing correlations between texture orien
Externí odkaz:
https://doaj.org/article/8b9495c120e543d88a0295564fc8e2ea
Publikováno v:
IEEE Access, Vol 6, Pp 46595-46616 (2018)
In this paper, a new feature descriptor, named correlated primary visual texton histogram features (CPV-THF), for image retrieval is proposed. CPV-THF integrates the visual content and semantic information of the image by finding correlations among t
Externí odkaz:
https://doaj.org/article/9fc2ad1b36bc49a48b755ced526b812d
Publikováno v:
Arabian Journal for Science and Engineering. 47:10589-10604
Publikováno v:
Vol 4 Issue 1. 4:189-200
Fingerprints are commonly used in biometric systems. However, the authentication of these systems became an open challenge because fingerprints can easily be fabricated. In this paper, a hybrid feature extraction approach named Integration of Probabi
Publikováno v:
IEEE Access, Vol 7, Pp 55206-55228 (2019)
In this paper, a novel feature descriptor named “correlated microstructure descriptor (CMSD)” is proposed for image retrieval. CMSD represents high level semantics by identifying microstructures via establishing correlations between texture orien
Autor:
Rubab Mehboob, Hassan Dawood
Publikováno v:
Biomedical Signal Processing and Control. 75:103572
Publikováno v:
IEEE Access, Vol 6, Pp 46595-46616 (2018)
In this paper, a new feature descriptor, named correlated primary visual texton histogram features (CPV-THF), for image retrieval is proposed. CPV-THF integrates the visual content and semantic information of the image by finding correlations among t
Autor:
Hussain Dawood, Madini O. Alassafi, Abdulrahman A. Alshdadi, Hassan Dawood, Rubab Mehboob, Rayed AlGhamdi
Publikováno v:
Biomedical Signal Processing and Control. 61:102039
Fingerprint-based biometric systems are designed to authenticate and provide authorized access to the users in various security applications. However, such systems can be jeopardized by different kinds of presentation and spoof attacks by using diffe
Publikováno v:
Journal of Electronic Imaging. 27:1
An image feature descriptor named “sparsely encoded distinctive visual features (SEDVF)” is proposed for object recognition. SEDVF is built with the integration of local and global visual features. Visual information on edge orientation, magnitud
Publikováno v:
Journal of Electronic Imaging. 27:1
Fingerprint recognition systems are widely used for authentication purposes in security systems. However, fingerprint recognition systems can easily be spoofed by imitations of fingerprints using various spoof materials. A compact and discriminative