Florence Tushabe

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This paper presents the results of using the shape, size and color features of an image for content-based image retrieval. The use of granulometries has been applied to model the size and shape of the connected components of the image. Granulometry are computed by successively sieving an image using filters of increasing size parameter so that information(More)
This work proposes a region-based shape signature that uses a combination of three different types of pattern spectra. The proposed method is inspired by the connected shape filter proposed by Urbach et al. We extract pattern spectra from the red, green and blue color bands of an image then incorporate machine learning techniques for application in(More)
Minutiae-based matching techniques have been widely used in the implementation of multiple enrollment fingerprint recognition systems. However, these techniques suffer the difficulty of automatically extracting all minutiae points due to failure to detect the complete ridge structures of a fingerprint. With poor quality fingerprint images, detection of(More)
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