Name
Abstract | ||
|---|---|---|
DWT domain on-line signature verification method has bee proposed. Time-varying pen-position signal is decomposed into sub-band
signals by using the DWT. Individual features are extracted as high frequency signals in sub-band. By using the extracted
feature, verification is achieved at each sub-band and then total decision is done by combining such verification results.
In this paper, we introduce a user weighting fusion into the total decision for improving verification performance. Through
many verification experiments, it is confirmed that there is an optimal weight combination for each user and verifiaction
rate can be improved when the optimal weight combination is applied. Such the optimal weight combination also becomes an individual
feature which can not be known by others.
|
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11527923_79 | ISCAS (2) |
Keywords | Field | DocType |
user weighting fusion,dwt domain,verification result,verification performance,optimal user weighting fusion,on-line signature verification method,total decision,sub-band signal,individual feature,optimal weight combination,verification experiment,biometrics,dwt,high frequency,writing,adaptive signal processing,handwriting recognition,feature extraction,frequency | Weighting,Pattern recognition,Frequency band,Computer science,Image processing,Digital signature,Sensor fusion,Feature extraction,Artificial intelligence,Adaptive filter,Biometrics | Conference |
Volume | ISSN | ISBN |
3546 | 0302-9743 | 3-540-27887-7 |
Citations | PageRank | References |
3 | 0.45 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Isao Nakanishi | 1 | 104 | 28.15 |
| Hiroyuki Sakamoto | 2 | 34 | 5.24 |
| Yoshio Itoh | 3 | 59 | 18.04 |
| Yutaka Fukui | 4 | 55 | 12.83 |