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» Steganalyzing Texture Images
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ICIAR
2010
Springer
15 years 11 months ago
Secure Iris Recognition Based on Local Intensity Variations
In this paper we propose a fast and efficient iris recognition algorithm which makes use of local intensity variations in iris textures. The presented system provides fully revocab...
Christian Rathgeb, Andreas Uhl
CVPR
2005
IEEE
16 years 8 months ago
Efficient Image Matching with Distributions of Local Invariant Features
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...
Kristen Grauman, Trevor Darrell
APWEB
2003
Springer
15 years 12 months ago
Web-Based Image Retrieval with a Case Study
Abstract. Advances in content-based image retrieval(CBIR)lead to numerous efficient techniques for retrieving images based on their content features, such as colours, textures and ...
Ying Liu, Danqing Zhang
ICCTA
2007
IEEE
15 years 10 months ago
Chromatogram Image Pre-Processing and Feature Extraction for Automatic Soil Analysis
A circular paper chromatogram is obtained from an alkaline solution of silver nitrate and soil. The shape, size, color and textural patterns of the chromatogram image are hypothes...
Variganti Saritha, Mary Joseph Minu, Sukhendu Das,...
CVPR
2007
IEEE
16 years 8 months ago
Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration
We present a parameter free approach that utilizes multiple cues for image segmentation. Beginning with an image, we execute a sequence of bottom-up aggregation steps in which pix...
Sharon Alpert, Meirav Galun, Ronen Basri, Achi Bra...