Fingerprint verification based on fixed length square finger code
| Autor: | Pradeep M. Patil, Hemant K. Abhyankar, S.R. Suralkar |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
business.industry
Computer science Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Fingerprint Verification Competition Pattern recognition Fingerprint recognition Grayscale Euclidean distance Gabor filter Fingerprint Computer Science::Computer Vision and Pattern Recognition Point (geometry) Artificial intelligence business |
| Zdroj: | ICTAI |
| DOI: | 10.1109/ictai.2005.66 |
| Popis: | In this paper a novel method is presented for generation of a fixed length square finger code of size 16times16times4. It uses a set of Gabor filters for extracting fingerprint features from gray scale image cropped in the size of 128times128 pixels using its core point as the center. Experimental results show that the recognition rate based on the Euclidean distance between the two corresponding Gabor filter finger codes have a verification accuracy of 93%. Since, the fingerprint matching is based on the Euclidean distance between two corresponding finger codes, it is extremely fast. This reveals that by setting the parameters to appropriate values, the finger code generated is more efficient and suitable than conventional methods for a small-scale fingerprint recognition system |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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