Fuzzy models describe nonlinear input-output relationships with linguistic fuzzy rules. A hierarchical fuzzy modeling is promising for identification of fuzzy models of target systems that have many input variables. In the identification, (1) determination of a hierarchical structure of submodels, (
A method of describing fingerprint structure and identification algorithm using geometric characteristics
β Scribed by Michio Yamada; Akihisa Kodata; Hideyoshi Tominaga
- Publisher
- John Wiley and Sons
- Year
- 1994
- Tongue
- English
- Weight
- 989 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0882-1666
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
This paper proposes a method of describing the structure of fingerprint images. The proposed description method considers reconstruction of the topological feature of fingerprints, and describes a fingerprint image as locations of ridges in a connected component. The topological structure of a fingerprint image is described by three features: the local relation between connected components; the local relation of ridges in a connected component; and the feature of the ridge shape.
By using ridgeβshape characteristics which are independent of locational coordinates, numbers are given to ridges and minutiae, and graph features of the connected relation and adjacency relation are described by numbered ridges and minutiae. Therefore, even if fingerprints are rotated or parallel transferred, the same descriptive information of the structure can be obtained. Also, the proposed matching process is based on paired ridge lengths and therefore, unlike traditional methods, locational matching using the reference of registered/inputted fingerprints becomes unnecessary. The effectiveness of the two proposed algorithms is confirmed by simulation.
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