Guided Gabor Filter for Finger Vein Pattern Extraction
Authors:
- Shan Juan XieSXShan Juan Xie
- JuCheng YangJYJuCheng Yang
- Sook YoonSYSook Yoon
- Lu YuLYLu Yu
- Dong Sun ParkDPDong Sun Park
- 1 November 2012
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 118-123
Abstract
In this paper, a novel explicit image filter, called Guided Gabor filter, is proposed to extract the finger vein pattern without any segmentation processing, and lower performance reduction for poor quality images which result from low contrast, illumination, or noise effects, etc. The proposed filter is contributed for finger vein enhancement, noise reduction, and haze removal without being affected by the brightness of the vein. It performs well not only on ridge detection like the Gabor filter, but on image enhancement as an edge-preserving smoothing operator without the gradient reversal artifacts. The experimental results show that the proposed method is able to get vein pattern more clearly and faster than the existing methods, and improve the matching performance with higher recognition rate.Keywords
This publication has 10 references indexed in Scilit:
- Scattering Removal for Finger-Vein Image Enhancement2011
- Feature enhancement of medical images using morphology-based homomorphic filter and differential evolution algorithmInternational Journal of Control, Automation, and Systems, 2010
- A Person Retrieval Solution Using Finger Vein Patterns2010
- An effective quality improvement approach for low quality finger vein image2010
- Multi-Histogram Equalization Methods for Contrast Enhancement and Brightness PreservingIEEE Transactions on Consumer Electronics, 2007
- Extraction of Finger-Vein Patterns Using Maximum Curvature Points in Image ProfilesIEICE Transactions on Information and Systems, 2007
- Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identificationMachine Vision and Applications, 2004
- Filterbank-based fingerprint matchingIEEE Transactions on Image Processing, 2000
- Image representation using 2D Gabor waveletsIEEE Transactions on Pattern Analysis and Machine Intelligence, 1996
- Use of the Hough transformation to detect lines and curves in picturesCommunications of the ACM, 1972