Image Representation Using 2D Gabor Wavelets
IEEE Transactions on Pattern Analysis and Machine Intelligence
A modified Gabor filter design method for fingerprint image enhancement
Pattern Recognition Letters
Machine Vision and Applications
Automatic fog detection and estimation of visibility distance through use of an onboard camera
Machine Vision and Applications
Scale multiplication in odd Gabor transform domain for edge detection
Journal of Visual Communication and Image Representation
Vessel enhancement filter using directional filter bank
Computer Vision and Image Understanding
Driver identification using finger-vein patterns with Radon transform and neural network
Expert Systems with Applications: An International Journal
Extraction of Finger-Vein Patterns Using Maximum Curvature Points in Image Profiles
IEICE - Transactions on Information and Systems
Vein segmentation in infrared images using compound enhancing and crisp clustering
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Combination of Gabor wavelets and circular Gabor filter for finger-vein extraction
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Finger-Vein recognition based on a bank of gabor filters
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Contrast restoration of weather degraded images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariance properties of Gabor filter-based features-overview and applications
IEEE Transactions on Image Processing
Information Sciences: an International Journal
Towards finger-vein image restoration and enhancement for finger-vein recognition
Information Sciences: an International Journal
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Finger-vein based biometrics, as a new approach to personal identification, has received much attention in recent years. However, the poor visibility of finger-vein imageries is really not beneficial for deepening the understanding of finger-vein characteristics. Moreover, unreliable finger-vein region of interest (ROI) localization can also heavily degrade the performance of a finger-vein based recognition system in practical scenario. Hence, in this paper, we first introduces a new and robust approach for finger-vein ROI localization, and then proposes a new scheme for effectively improving the visibility of finger-vein imageries. Extensive experiments are finally conducted to validate the proposed method.