Fundamentals of interactive computer graphics
Fundamentals of interactive computer graphics
Image segmentation by contours and regions cooperation
Signal Processing
Color image segmentation using fuzzy C-means and eigenspace projections
Signal Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition Letters - In memory of Professor E.S. Gelsema
Palmprint recognition using eigenpalms features
Pattern Recognition Letters
Palmprint Texture Analysis Based on Low-Resolution Images for Personal Authentication
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Online Palmprint Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fisherpalms based palmprint recognition
Pattern Recognition Letters
Competitive Coding Scheme for Palmprint Verification
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Palmprint Recognition Using Directional Line Energy Feature
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Low Resolution Character Recognition by Image Quality Evaluation
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Hierarchical Identification of Palmprint using Line-based Hough Transform
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
IEEE Transactions on Multimedia
Hybrid image segmentation using watersheds and fast region merging
IEEE Transactions on Image Processing
Regions adjacency graph applied to color image segmentation
IEEE Transactions on Image Processing
Personal recognition using hand shape and texture
IEEE Transactions on Image Processing
Pattern Recognition
Empirical study of light source selection for palmprint recognition
Pattern Recognition Letters
Contact-free hand geometry-based identification system
Expert Systems with Applications: An International Journal
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Low-quality images are taking an increasing amount in real-life biometrics identification systems, especially when the working environment is gradually becoming complex and open. Low resolution is a crucial component of low quality. We propose a hierarchical identification method based on improved hand geometry and regional content feature for low-resolution hand images without region of interest (ROI) cropping. At coarse level, angle information is added as a complement to line-based hand geometry. At fine level, relying on the assumption that gradient value of each pixel presents the gray-level changing rate, we develop a simple sequence labeling segmentation method, and choose conditional regions that are relatively steady in segmentation through region area constraint. Because distinctive lines and dense textures always have lower gray-levels than their surrounding areas, regions with lower average gray-levels are selected from conditional regions. Regional centroid coordinates are extracted as feature vectors. Finally, regional spatiality relationship matrix is built up to measure distances between feature vectors with various dimensions. Compared with ROI-based state-of-the-art algorithms, the proposed method utilizes more available information in low-resolution hand images. Performance comparisons between algorithms prove that our method is effective and robust to rotation and translation.