Name
Title | ||
|---|---|---|
Intelligent Robot Finger Vein Identification Quality Assessment Algorithm Based on Support Vector Machine |
Abstract | ||
|---|---|---|
The identity recognition technology as an important aspect in the field of artificial intelligence. Especially with the development of intelligent robot has the function of identification, the application fields of further widening. This paper presents an identification algorithm of finger vein quality assessment based on the support vector machine. Through the analysis of some existing features, and analyses the three characteristic parameters of great influence on the finger vein image quality (image contrast, image gradient covariance feature values, and the effective area). Vein image by establishing a model of support vector machine to the known training quality, and then, classify the test image random sampling. The experimental results show that this algorithm can well distinguish the vein image high and low quality for enhance the performance of the finger vein identification system. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-38789-5_21 | INFORMATION TECHNOLOGY AND INTELLIGENT TRANSPORTATION SYSTEMS, VOL 1 |
Keywords | DocType | Volume |
Intelligent,Robot,SVM,Identification | Conference | 454 |
ISSN | Citations | PageRank |
2194-5357 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chengbo Yu | 1 | 18 | 2.90 |
| Yangyu Yuan | 2 | 0 | 0.34 |
| Rumin Yang | 3 | 1 | 1.64 |