원문정보
초록
영어
This paper proposes a new method of fingerprint singular points searching algorithm based on fingerprint orientation maps mainly. In these orientation maps, mathematical morphology theory and operations are used to search the fingerprint’s singular points in view of the phenomenon that the change of ridges’ direction at the points is the fastest in the whole fingerprint image and the directions of finger ridges which surround the points are symmetric with each other. For obtaining more accuracy result, before obtain the orientation maps, we use db3 wavelet technology to remove the most of fingerprint images’ noises in this paper. For the same reason, before the main mathematical morphology operations, we first obtain fingerprint images’ binary image models based on the db3-denoise image, and use these models to remove the disturb directions of the image background secondly. Experiments indicate this method is easy to understand, achieve and has a good robustness for the fingerprint’s translation and deformation.
목차
1. Introduction
2. Introduction of Algorithm Procedures
3. The Theory of Db3 Wavelet
4. Introduction of Mathematics Morphology
5. The Theory of Searching Singular Points
6. Step1: The Denoising Operation of Fingerprint Images
7. Step2: The Obtaining of Fingerprint Orientation Map
8. Step3: The Obtaining of Fingerprint Binary Models
9. Step 4: Searching Singular Points
9.1. Step1: Hit mathematical morphology operation
9.2. Step2: Dilation Mathematical Morphology Operation
9.3 Step3: Obtain the Singular Point
10. The Experimental Results
11. Conclusions
References