Signal-level Fusion for Indexing and Retrieval of Facial Biometric Data

by   Pawel Drozdowski, et al.

The growing scope, scale, and number of biometric deployments around the world emphasise the need for research into technologies facilitating efficient and reliable biometric identification queries. This work presents a method of indexing biometric databases, which relies on signal-level fusion of facial images (morphing) to create a multi-stage data-structure and retrieval protocol. By successively pre-filtering the list of potential candidate identities, the proposed method makes it possible to reduce the necessary number of biometric template comparisons to complete a biometric identification transaction. The proposed method is extensively evaluated on publicly available databases using open-source and commercial off-the-shelf recognition systems. The results show that using the proposed method, the computational workload can be reduced down to around 30 exhaustive search-based retrieval is fully maintained, both in closed-set and open-set identification scenarios.



There are no comments yet.


page 1

page 2

page 3

page 6

page 7


Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition with Privacy Protection

Computationally efficient, accurate, and privacy-preserving data storage...

Multimodal Biometric Systems - Study to Improve Accuracy and Performance

Biometrics is the science and technology of measuring and analyzing biol...

Multispectral Palmprint Encoding and Recognition

Palmprints are emerging as a new entity in multi-modal biometrics for hu...

A Comprehensive Overview of Biometric Fusion

The performance of a biometric system that relies on a single biometric ...

Facial Biometric System for Recognition using Extended LGHP Algorithm on Raspberry Pi

In todays world, where the need for security is paramount and biometric ...

Method to Assess the Temporal Persistence of Potential Biometric Features: Application to Oculomotor, and Gait-Related Databases

Although temporal persistence, or permanence, is a well understood requi...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.