Ridges (resp., valley) are the useful geometric features due to their wide varieties of applications, mainly in image analysis problems such as object detection, segmentation, scene understanding, etc. Many characterizations have contributed formalize ridge notion. The signification each characterization rely however on its actual application. objective characterized thin and complex structure ...

Fingerprint is one of the most significant and traditional biometric trait and its uniqueness are exclusively determined by the local ridge characteristics and their relationships. However, in existing system, due to variations in impression condition, due to different stress level, ridge configuration, skin conditions, acquisition devices, noise etc, the accuracy of the system get affected. To...

This paper proposes novel improvements in the traditional algorithms for the identification of ridge and channel (also called ravines) topographic features on raster digital elevation models (DEMs). The overall methodology consists of two main steps: (1) smoothing the DEM by applying a mean filter, and (2) detection of ridge and channel features as cells with positive and negative plan curvatur...

The paper proposes an approach for stable extraction of the skeleton of a polygonal surface and detection of surface features, ridges and ravines, corresponding to skeletal edges. The approach adapts the three-dimensional Voronoi diagram technique [3] for skeleton extraction, explores the singularity theory for ridge and ravine detection [8], and combines several filtering methods for skeleton ...

Reconstruction of fingerprint ridge lines is a critical pre-processing step in the identification of poor quality fingerprint images. This paper presents a new fingerprint ridge line reconstruction approach by way of ridge line tracing. In our research, the fingerprint ridge line in a gray scale image is viewed as a track of a ridge segment moving along the ridge. The curve tracing problem is s...

Most automatic systems for fingerprint comparison are based on minutiae matching. Minutiae are essentially terminations and bifurcations of the ridge lines that constitute a fingerprint pattern. Automatic minutiae detection is an extremely critical process, especially in low-quality fingerprints where noise and contrast deficiency can originate pixel configurations similar to minutiae or hide r...

In this paper we propose a new junctions ridges and valleys detection method in images based on the difference of rotating Gaussian semi filters. The novelty of this approach resides in the mixing of ideas coming both from directional filters and DoG method. We obtain a new ridges/valleys junctions anisotropic DoG detector enabling very precise detection of ridge/valley junctions. Moreover, thi...