Abstract
Most, if not all, assessments or comparisons of biometric systems focus on extrinsic characteristics; our focus is intrinsic, as we are concerned with the biometric signals and images that underpin each system, and not with how these signals are obtained, matched or interpreted. Through the intrinsic assessment of a biometric system, we expect to answer several policy-related questions, including: How robust is the system? How can the system be refined? To what extent is the system intrinsically prone to error? Likewise, through the intrinsic comparison of two or more biometric systems, we expect to answer questions concerning: To what extent are the systems complementary? Can a more robust, hybrid system be identified? As with any assessment or comparative analysis of a number of systems, it is necessary to carry out the analysis within a consistent framework or model. After considering a number of approaches, we employ the wavelet transform technique because of its robustness in modeling most, if not all, of the biometric signals and images and its ability to shed light on the above policy-related questions.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Pages | 4514-4521 |
| Number of pages | 8 |
| Volume | 5 |
| State | Published - 2003 |
| Externally published | Yes |
| Event | System Security and Assurance - Washington, DC, United States Duration: Oct 5 2003 → Oct 8 2003 |
Other
| Other | System Security and Assurance |
|---|---|
| Country | United States |
| City | Washington, DC |
| Period | 10/5/03 → 10/8/03 |
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Keywords
- Biometric systems
- System assessment
- Wavelet analysis
ASJC Scopus subject areas
- Hardware and Architecture
- Control and Systems Engineering
Cite this
An intrinsic assessment and comparison of biometric systems through wavelet analysis. / Burnes, James P.; Tien, James M.; Chang, Woojin.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Vol. 5 2003. p. 4514-4521.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - An intrinsic assessment and comparison of biometric systems through wavelet analysis
AU - Burnes, James P.
AU - Tien, James M.
AU - Chang, Woojin
PY - 2003
Y1 - 2003
N2 - Most, if not all, assessments or comparisons of biometric systems focus on extrinsic characteristics; our focus is intrinsic, as we are concerned with the biometric signals and images that underpin each system, and not with how these signals are obtained, matched or interpreted. Through the intrinsic assessment of a biometric system, we expect to answer several policy-related questions, including: How robust is the system? How can the system be refined? To what extent is the system intrinsically prone to error? Likewise, through the intrinsic comparison of two or more biometric systems, we expect to answer questions concerning: To what extent are the systems complementary? Can a more robust, hybrid system be identified? As with any assessment or comparative analysis of a number of systems, it is necessary to carry out the analysis within a consistent framework or model. After considering a number of approaches, we employ the wavelet transform technique because of its robustness in modeling most, if not all, of the biometric signals and images and its ability to shed light on the above policy-related questions.
AB - Most, if not all, assessments or comparisons of biometric systems focus on extrinsic characteristics; our focus is intrinsic, as we are concerned with the biometric signals and images that underpin each system, and not with how these signals are obtained, matched or interpreted. Through the intrinsic assessment of a biometric system, we expect to answer several policy-related questions, including: How robust is the system? How can the system be refined? To what extent is the system intrinsically prone to error? Likewise, through the intrinsic comparison of two or more biometric systems, we expect to answer questions concerning: To what extent are the systems complementary? Can a more robust, hybrid system be identified? As with any assessment or comparative analysis of a number of systems, it is necessary to carry out the analysis within a consistent framework or model. After considering a number of approaches, we employ the wavelet transform technique because of its robustness in modeling most, if not all, of the biometric signals and images and its ability to shed light on the above policy-related questions.
KW - Biometric systems
KW - System assessment
KW - Wavelet analysis
UR - http://www.scopus.com/inward/record.url?scp=0242552177&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0242552177&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0242552177
VL - 5
SP - 4514
EP - 4521
BT - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
ER -