Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color image enhancement by fuzzy intensification
Pattern Recognition Letters
Fuzzy Edge Detector Using Entropy Optimization
ITCC '04 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2 - Volume 2
A Novel Framework for Enhancing Images Corrupted by Impulse Noise Using Type-II Fuzzy Sets
FSKD '08 Proceedings of the 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 03
Image thresholding using type II fuzzy sets
Pattern Recognition
IEEE Transactions on Fuzzy Systems
Interval Type-2 Fuzzy Logic Systems Made Simple
IEEE Transactions on Fuzzy Systems
A robust approach to image enhancement based on fuzzy logic
IEEE Transactions on Image Processing
An Optimal Fuzzy System for Color Image Enhancement
IEEE Transactions on Image Processing
A fuzzy operator for the enhancement of blurred and noisy images
IEEE Transactions on Image Processing
Fuzzy models for fingerprint description
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
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High-quality images are a prerequisite for accurate matching of fingerprint images. However, fingerprint images are rarely of perfect quality. They may be degraded or corrupted due to variations in skin and impression conditions. Thus, fingerprint images must be enhanced before use. In this work, we demonstrate the efficacy of applying Type-2 fuzzy logic to fingerprint image enhancement when the input is pre-processed by the Hong's algorithm. We have measured the fuzzy quality visually and quantitatively to note the effectiveness of the proposed technique for enhancement.