Name
Abstract | ||
|---|---|---|
Nowadays, advanced forgery and spoofing techniques are threatening the reliability of conventional biometric modalities. This has been motivating the recent investigation of a novel yet promising modality Transient Evoked Otoacoustic Emission (TEOAE), which is an acoustic response generated from cochlea after a click stimulus. Unlike conventional modalities that are easily accessible or captured, TEOAE is naturally immune to replay and falsification attacks as a physiological outcome from human auditory system. Corresponding biometric system where sensitive template data are stored consequently becomes the main intrusion target. To secure the template data, BioHashing based on random projection for TEOAE is proposed in this paper. Particularly, feature sets are projected onto random subspaces according to randomly generated pseudo matrices, which ensures non-linkability of hash templates across various systems; binary quantization after projection prevents recovery of original biometric data from the distorted templates. Quantitative analysis and experimental results verify that the proposed method fulfills robustness criteria, irreversibility and diversity, and meanwhile guarantees decent recognition performance. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/CCECE.2014.6901024 | CCECE |
Keywords | Field | DocType |
modality transient evoked otoacoustic emission,click stimulus,security,random projection,biometric system,biohashing,intrusion target,human acoustic signature,matrix algebra,randomly generated pseudo matrices,teoae,quantisation (signal),spoofing technique,falsification attack,physiological outcome,feature sets,biometrics (access control),acoustic signal processing,human auditory system,template data security,cochlea,replay attack,quantitative analysis,acoustic response,binary quantization,biometric modalities,random subspaces,forgery technique,robust identity verification,hash templates | Random projection,Spoofing attack,Computer science,Acoustic signature,Robustness (computer science),Speech recognition,Hash function,Template,Biometrics,Quantization (signal processing) | Conference |
ISSN | Citations | PageRank |
0840-7789 | 0 | 0.34 |
References | Authors | |
13 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuxi Liu | 1 | 86 | 13.46 |
| Dimitrios Hatzinakos | 2 | 1200 | 126.40 |