Finger Vein Recognition Algorithm Using Phase Only Correlation
Autor: | Shahrel Azmin Suandi, Bakhtiar Affendi Rosdi, Nurhafizah Mahri |
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Rok vydání: | 2010 |
Předmět: |
Pixel
Computational complexity theory Matching (graph theory) business.industry Computer science Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Word error rate Pattern recognition Finger vein recognition Pattern recognition (psychology) Preprocessor Computer vision Artificial intelligence business Algorithm |
Zdroj: | 2010 International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics. |
DOI: | 10.1109/etchb.2010.5559283 |
Popis: | In this paper, we propose an algorithm for finger vein recognition with less complexity in the image preprocessing phase, where finger vein pattern extraction is not included at all. In the proposed algorithm, we implement phase-only correlation (POC) function at the matching stage with a very simple preprocessing technique. Experimental evaluation of the proposed algorithm using a set of finger vein images captured from a low cost device have resulting an efficient recognition performance where the equal error rate (EER) was 0.9803% with a total processing time of 0.6362s. |
Databáze: | OpenAIRE |
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