Color fingerprint image recognition
| Autor: | S. G. Eltaweel |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Computer science
business.industry Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Color space Wavelet Fingerprint Computer Science::Computer Vision and Pattern Recognition Computer Science::Multimedia Discrete cosine transform Fingerprint image Minimum distance classifier Computer vision Artificial intelligence business |
| Zdroj: | 2012 8th International Computer Engineering Conference (ICENCO). |
| DOI: | 10.1109/icenco.2012.6487096 |
| Popis: | In this paper, we propose a new method for recognition of color fingerprint images. The data is collected from eight persons in the department. The main contribution of this work is the features extracted from color fingerprint images. The Discrete wavelet (DWT), the discrete cosine transform (DCT) and CIEXYZ color space are used to extract the features. No training is accomplished in our system only the features are extracted and the distances are measured. The minimum distance classifier is used for recognition. The method does not need to preprocess the images acquired. The system proposed recognizes 46 samples of total 48 samples. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|