A novel method for finger-vein authentication based on feature-point matching is proposed and evaluated. A finger-vein image captured by infrared light contains artifacts such as irregular shading and vein posture deformation that can degrade accuracy of finger-vein authentication. Therefore, a method is proposed for extracting features from vein patterns and for matching feature points that is robust against irregular shading and vein deformation. In the proposed method, curvature of image-intensity profiles is used for feature point extraction because such image profiles are a robust feature against irregular shading. To increase the number of feature points, these points are extracted from any positions where vein shape is non-linear. Moreover, a finger-shape model and non-rigid registration method are proposed. Both the model and the registration method correct a deformation caused by the finger-posture change. It is experimentally shown that the proposed method achieves more robust matching than conventional methods. Furthermore, experiments on finger-vein identification show that the proposed method provides higher identification accuracy than conventional methods.

Article IMPACT: an interactive natural-motion-picture dedicated multimedia authoring system Share on Authors: Hirotada Ueda Central Research Laboratory, Hitachi, Ltd., Kokubunji, Tokyo 185, Japan Central Research Laboratory, Hitachi, Ltd., Kokubunji, Tokyo 185, JapanView Profile , Takafumi Miyatake Central Research Laboratory, Hitachi, Ltd., Kokubunji, Tokyo 185, Japan Central Research Laboratory, Hitachi, Ltd., Kokubunji, Tokyo 185, JapanView Profile , Satoshi Yoshizawa Central Research Laboratory, Hitachi, Ltd., Kokubunji, Tokyo 185, Japan Central Research Laboratory, Hitachi, Ltd., Kokubunji, Tokyo 185, JapanView Profile Authors Info & Claims CHI '91: Proceedings of the SIGCHI Conference on Human Factors in Computing SystemsApril 1991 Pages 343–350https://doi.org/10.1145/108844.108939Online:01 March 1991Publication History 101citation840DownloadsMetricsTotal Citations101Total Downloads840Last 12 Months22Last 6 weeks3 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access