Finger vein image enhancement using interval type-2 fuzzy sets
01 Feb 2017-pp 271-274
TL;DR: Interval type-2 fuzzy sets is presented as an efficient tool to enhance the finger vein images in the paper and Aggregate of the upper and lower membership functions of the interval type-1 fuzzy sets are calculated using Einstein T co-norm.
Abstract: In this paper a unique finger vein image enhancement method is proposed using interval type-2 fuzzy sets. Image enhancement is a significant stage in finger vein recognition as it is necessary to minimize the effects of non-uniform illumination and low local contrast in the captured vein images. Interval type-2 fuzzy sets is presented as an efficient tool to enhance the finger vein images in the paper. Aggregate of the upper and lower membership functions of the interval type-2 fuzzy sets are is calculated using Einstein T co-norm. A significantly enhanced image is obtained with the modified membership function. The experiment is performed on different finger vein images and the results are compared with the existing methods.
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01 Jan 2019
TL;DR: This paper concentrates on image enhancement using fuzzy logic approach and gives an insight into previous research work and future perspectives.
Abstract: Image enhancement is the preprocessing task in digital image processing. It helps to improve the appearance or perception of the image so that the image can be used for analytics and human visual system. Image enhancement techniques lie in three broad categories—spatial domain, frequency domain, and fuzzy domain-based enhancement. A lot of work has been done on image enhancement. Most of the work has been done/performed on grayscale image. This paper concentrates on image enhancement using fuzzy logic approach and gives an insight into previous research work and future perspectives.
11 citations
TL;DR: Wang et al. as discussed by the authors proposed a new finger vein image segmentation approach based on Gabor transform and Gaussian mixed model (GMM), which achieved significant performance in segmenting finger vein images which the average accuracy of segmentation images reach 91.6%.
Abstract: In the fingertip blood automatic sampling process, when the blood sampling point in the fingertip venous area, it will greatly increase the amount of bleeding without being squeezed. In order to accurately locate the blood sampling point in the venous area, we propose a new finger vein image segmentation approach basing on Gabor transform and Gaussian mixed model (GMM). Firstly, Gabor filter parameter can be set adaptively according to the differential excitation of image and we use the local binary pattern (LBP) to fuse the same-scale and multi-orientation Gabor features of the image. Then, finger vein image segmentation is achieved by Gabor-GMM system and optimized by the max flow min cut method which is based on the relative entropy of the foreground and the background. Finally, the blood sampling point can be localized with corner detection. The experimental results show that the proposed approach has significant performance in segmenting finger vein images which the average accuracy of segmentation images reach 91.6%.
3 citations
TL;DR: In this article , a systematic survey on existing state-of-the-art image enhancement techniques is presented, and a broad classification of their algorithms is provided for each of them.
1 citations
References
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TL;DR: This paper demonstrates that it is unnecessary to take the route from general T2 FS to IT2 FS, and that all of the results that are needed to implement an IT2 FLS can be obtained using T1 FS mathematics.
Abstract: To date, because of the computational complexity of using a general type-2 fuzzy set (T2 FS) in a T2 fuzzy logic system (FLS), most people only use an interval T2 FS, the result being an interval T2 FLS (IT2 FLS). Unfortunately, there is a heavy educational burden even to using an IT2 FLS. This burden has to do with first having to learn general T2 FS mathematics, and then specializing it to an IT2 FSs. In retrospect, we believe that requiring a person to use T2 FS mathematics represents a barrier to the use of an IT2 FLS. In this paper, we demonstrate that it is unnecessary to take the route from general T2 FS to IT2 FS, and that all of the results that are needed to implement an IT2 FLS can be obtained using T1 FS mathematics. As such, this paper is a novel tutorial that makes an IT2 FLS much more accessible to all readers of this journal. We can now develop an IT2 FLS in a much more straightforward way
1,892 citations
"Finger vein image enhancement using..." refers background in this paper
...Graphical representation of an interval type-2 fuzzy set [16]...
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...1 shows an interval type-2 fuzzy set with a discrete universal set where the secondary membership values are unity [16]....
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TL;DR: A type-2 fuzzy logic system (FLS) is introduced, which can handle rule uncertainties and its implementation involves the operations of fuzzification, inference, and output processing, which consists of type reduction and defuzzification.
Abstract: We introduce a type-2 fuzzy logic system (FLS), which can handle rule uncertainties. The implementation of this type-2 FLS involves the operations of fuzzification, inference, and output processing. We focus on "output processing," which consists of type reduction and defuzzification. Type-reduction methods are extended versions of type-1 defuzzification methods. Type reduction captures more information about rule uncertainties than does the defuzzified value (a crisp number), however, it is computationally intensive, except for interval type-2 fuzzy sets for which we provide a simple type-reduction computation procedure. We also apply a type-2 FLS to time-varying channel equalization and demonstrate that it provides better performance than a type-1 FLS and nearest neighbor classifier.
1,521 citations
01 Oct 2004
TL;DR: Experimental results show that the proposed method achieves robust pattern extraction, and the equal error rate was 0.145% in personal identification.
Abstract: We propose a method of personal identification based on finger-vein patterns. An image of a finger captured under infrared light contains not only the vein pattern but also irregular shading produced by the various thicknesses of the finger bones and muscles. The proposed method extracts the finger-vein pattern from the unclear image by using line tracking that starts from various positions. Experimental results show that it achieves robust pattern extraction, and the equal error rate was 0.145% in personal identification.
733 citations
"Finger vein image enhancement using..." refers background in this paper
...The light rays are absorbed by the hemoglobin in the vein which makes the vein pattern look darker than the other regions in the image [2], [3]....
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TL;DR: This paper investigates the algebraic structures of fuzzy grades under the operations of join ⊔, meet ⊓, and negation ┐ which are defined by using the extension principle, and shows that convex fuzzy grades form a commutative semiring and normal convex fuzzies form a distributive lattice under ⊢ and ⊡.
Abstract: The concept of fuzzy sets of type 2 has been defined by L. A. Zadeh as an extension of ordinary fuzzy sets. The fuzzy set of type 2 can be characterized by a fuzzy membership function the grade (or fuzzy grade) of which is a fuzzy set in the unit interval [0, 1] rather than a point in [0, 1]. This paper investigates the algebraic structures of fuzzy grades under the operations of join ⊔, meet ⊔, and negation ┐ which are defined by using the extension principle, and shows that convex fuzzy grades form a commutative semiring and normal convex fuzzy grades form a distributive lattice under ⊔ and ⊓. Moreover, the algebraic properties of fuzzy grades under the operations and which are slightly different from ⊔ and ⊓, respectively, are briefly discussed.
725 citations
TL;DR: A new approach to improve the performance of finger-vein identification systems presented in the literature is presented and two new score-level combinations are developed and investigated, i.e., holistic and nonlinear fusion.
Abstract: This paper presents a new approach to improve the performance of finger-vein identification systems presented in the literature. The proposed system simultaneously acquires the finger-vein and low-resolution fingerprint images and combines these two evidences using a novel score-level combination strategy. We examine the previously proposed finger-vein identification approaches and develop a new approach that illustrates it superiority over prior published efforts. The utility of low-resolution fingerprint images acquired from a webcam is examined to ascertain the matching performance from such images. We develop and investigate two new score-level combinations, i.e., holistic and nonlinear fusion, and comparatively evaluate them with more popular score-level fusion approaches to ascertain their effectiveness in the proposed system. The rigorous experimental results presented on the database of 6264 images from 156 subjects illustrate significant improvement in the performance, i.e., both from the authentication and recognition experiments.
531 citations
"Finger vein image enhancement using..." refers background in this paper
...The light rays are absorbed by the hemoglobin in the vein which makes the vein pattern look darker than the other regions in the image [2], [3]....
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