… point-to-point based on a set of rules. In this paper, a Junction Point is defined as the intersection
point … The Junction Points of the palmprint and palm vein line segments associated with …

… . Dispensable feature selection found in the character shape or feature shapes will … junction
points This paper deals with a pre-extraction technique which avails to get minimum features …

… Based on stochastic geometry, we develop a new family of point processes consisting in
sampling junction-points in the input image by using a Monte Carlo mechanism. The quality of a …

… junction candidates from gray-level images, we shall important property of this method is that
each junction in … 1 using the image features and candidate break points shown in Fig. 2. For …

… Random Field (MRF) that incorporates multiscale local- and global-image features, and
models both depths at individual points as well as the relation between depths at different points. …

… For a contour feature of any shape, we define its focal point [9]. Although for some features
the focal point can be selected somehow arbitrarily, for the features of interest (ie junctions of …

… We will justify these features in the following sections. … junction points detected in the previous
steps. More precisely, we define a distorted zone Z J for a given candidate junction point J …

… of junction detection, the underlying ideas apply also to other types of differential feature …
detection, by selecting junctions candidates and scales for treating those from points where …

… Cao (2003) detects corners as points along level lines where a good continuation criterion
is broken. Corners are detected as points where the curvature along a level line is abnormally …

… of the single-molecule junction may also follow distinct trajectories. … Here we exploit the
efficient feature recognition properties of neural … Then the network captures the features of these …