An efficient and reduced memory indexing approach based on priority rank spectral hashing for multibiometric database
by Revathi Balasundaram; Gnanou Florence Sudha
International Journal of Biometrics (IJBM), Vol. 9, No. 2, 2017

Abstract: Fast retrieval of data from a multibiometric database is a challenging task as the size of the databases has increased considerably. For the retrieval to be faster, the search space has to be narrowed to a smaller set comprising of nearest neighbours. To achieve this, an appropriate data structure is to be built. Hence a novel priority rank-based spectral hashing algorithm is implemented to enhance the efficiency of indexing in a multibiometric database of iris and palmprints. To improve the matching accuracy, GIST feature extraction is used with weighted feature level fusion. From the experimental results, it is concluded that the proposed indexing algorithm has reduced storage cost by 85%, along with reduced penetration rate, false acceptance rate and false rejection rate. In addition, hit rate has improved by 25% compared to the existing kd tree technique.

Online publication date: Mon, 24-Jul-2017

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
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 Biometrics (IJBM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your 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