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Topological multi-contour decomposition for image analysis and image retrieval
(ELSEVIER SCIENCE BV, 2008)
Successful classification, information retrieval and image analysis tools are intimately related with the quality of the features employed in the process. Pixel intensities, color, texture and shape are, generally, the ...
Automatic character recognition based on graph theory: a new approach to automation
(ECSTenerife, Spain, 2011)
The aim of this paper is to present a new method Optical Character
Recognition (OCR).
For it will be used for projections of images and the technique of
Dijkstra's shortest path in graph-based structures can To validate ...
Automatic frontal sinus recognition in computed tomography images for person identification
(2018-05-01)
In many cases of person identification the use of biometric features obtained from the hard tissues of the human body, such as teeth and bones, may be the only option. This paper presents a new method of person identification ...
Fusion of fingerprint recognition methods for robust human identification
(2008-09-22)
Biometrics is one of the biggest tendencies in human identification. The fingerprint is the most widely used biometric. However considering the automatic fingerprint recognition a completely solved problem is a common ...
Fusion of fingerprint recognition methods for robust human identification
(2008-09-22)
Biometrics is one of the biggest tendencies in human identification. The fingerprint is the most widely used biometric. However considering the automatic fingerprint recognition a completely solved problem is a common ...
Is it possible to make pixel-based radar image classification user-friendly?
(2011-11-16)
In this paper we would like to shed light the problem of efficiency and effectiveness of image classification in large datasets. As the amount of data to be processed and further classified has increased in the last years, ...
Is it possible to make pixel-based radar image classification user-friendly?
(2011-11-16)
In this paper we would like to shed light the problem of efficiency and effectiveness of image classification in large datasets. As the amount of data to be processed and further classified has increased in the last years, ...