A multimodal biometric approach for the recognition of finger print, palm print and hand vein using fuzzy vault Online publication date: Thu, 04-Jun-2020
by R. Vinothkanna; Amitabh Wahi
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 33, No. 1, 2020
Abstract: For the security reasons, person identification has got primary place by means of some of the physiological features. In this paper, multimodal biometry is utilised for the person identification with the help of three physiological features such as finger print, palm print and hand vein. Initially, in the pre-processing stage, the unwanted portions, noise content and the blur effects are removed from the input finger print, palm print and hand vein images. The features from these three modalities are extracted. The combined feature vector is obtained by chaff points and extracted features. After getting the combined feature vector points, the secret key points are added with the combined feature vector points to generate the fuzzy vault. Finally, in the recognition stage, test person's combined vector is compared with the fuzzy vault database. Now we can obtain the corresponding finger print, hand vein and palm print images.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biomedical Engineering and Technology (IJBET):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com