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Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12128/7356
Title: The Method of Automatic Knuckle Image Acquisition for Continuous Verification Systems
Authors: Doroz, Rafał
Keywords: biometrics; finger knuckle recognition; template matching
Issue Date: 2018
Citation: Symmetry, Vol. 10 (2018), Art. No. 624
Abstract: The paper proposes a method of automatic knuckle image acquisition for continuous verification systems. The developed acquisition method is dedicated for verification systems in which the person being verified uses a computer keyboard. This manner of acquisition enables registration of the knuckle image without interrupting the user’s work for the time of acquisition. This is an important advantage, unprecedented in the currently known methods. The process of the automatic location of the finger knuckle can be considered as a pattern recognition approach and is based on the analysis of symmetry and similarity between the reference knuckle patterns and live camera image. The effectiveness of the aforesaid approach has been tested experimentally. The test results confirmed its high effectiveness. The effectiveness of the proposed method was also determined in a case where it is a part of a multi-biometric method.
URI: http://hdl.handle.net/20.500.12128/7356
DOI: 10.3390/sym10110624
ISSN: 2073-8994
Appears in Collections:Artykuły (WNŚiT)

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