Biometric System Based on Registration of Dorsal Hand Vein Configurations
| Autor: | Simina Emerich, László Szilágyi, Szidónia Lefkovits |
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| Rok vydání: | 2018 |
| Předmět: |
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Similarity (geometry) Image quality Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image registration Pattern recognition 02 engineering and technology 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Encoding (memory) 0202 electrical engineering electronic engineering information engineering Preprocessor 020201 artificial intelligence & image processing Segmentation Point (geometry) Artificial intelligence business |
| Zdroj: | Image and Video Technology ISBN: 9783319927527 PSIVT Workshops |
| DOI: | 10.1007/978-3-319-92753-4_2 |
| Popis: | In this paper we present a biometric system based on dorsal hand vein recognition. The preprocessing steps are tuned for image similar or captured with the same scanner as used for the creation of NCUT database. Image quality was improved according to the segmentation method applied. A coarse segmentation technique based on ordinal image encoding has been proposed to determine the significant parts of the vein skeleton. The vein skeleton obtained is the basis of an accurate image registration. The current work shall prove that the geometric attributes of the segmented vascular network are a solid basis for the dorsal hand vein registration process. The designed authentication system is based on the similarity of registered images applying the k-NN classification. A novel and promising similarity method capable of measuring the distance between two point sets, which have comparable visual aspects, has been introduced. The system was evaluated on the NCUT database. The experimental approach shows that the geometric attributes proposed can reach high performances (near 100% accuracy on the considered database). |
| Databáze: | OpenAIRE |
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