Palmprint verification based on principal lines
Pattern Recognition
Fast curvilinear structure extraction and delineation using density estimation
Computer Vision and Image Understanding
Extracting tongue cracks using the wide line detector
ICMB'08 Proceedings of the 1st international conference on Medical biometrics
Orthogonal locally discriminant projection for palmprint recognition
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Stroke extraction in cartoon images using edge-enhanced isotropic nonlinear filter
Proceedings of the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry
Curvilinear image regions detection: applications to mobile robotics
EURASIP Journal on Advances in Signal Processing - Special issue on biologically inspired signal processing: analyses, algorithms and applications
A Comparative Study of Palmprint Recognition Algorithms
ACM Computing Surveys (CSUR)
FoSA: F* Seed-growing Approach for crack-line detection from pavement images
Image and Vision Computing
Unbiased extraction of lines with parabolic and Gaussian profiles
Computer Vision and Image Understanding
Biometric identification system's performance enhancement by improving registration progress
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Recognition of petechia tongue based on log and gabor feature with spatial information
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Detection of tennis court lines for sport video categorization
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
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Lines provide important information in images, and line detection is crucial in many applications. However, most of the existing algorithms focus only on the extraction of line positions, ignoring line thickness. This paper presents a novel wide line detector using an isotropic nonlinear filter. Unlike most existing edge and line detectors which use directional derivatives, our proposed wide line detector applies a nonlinear filter to extract a line completely without any derivative. The detector is based on the isotropic responses via circular masks. A general scheme for the analysis of the robustness of the proposed wide line detector is introduced and the dynamic selection of parameters is developed. In addition, this paper investigates the relationship between the size of circular masks and the width of detected lines. A sequence of tests has been conducted on a variety of image samples and our experimental results demonstrate the feasibility and effectiveness of the proposed method