Name
Abstract | ||
|---|---|---|
This paper presents a multi-resolution masks based pattern matching method for person identification. The system is commenced with the construction of multi-resolution mask cluster pyramid, where the mask size is chosen depending on the distance between two eyes, computed from the detected face. Experimental results show the effectiveness of the system with significantly higher precision, recall rates and matching probability comparing with conventional single resolution mask based person identification systems. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/MUE.2009.30 | MUE |
Keywords | Field | DocType |
person identification,recall rate,higher precision,multi-resolution mask cluster pyramid,matching probability,conventional single resolution mask,multi-resolution mask,person identification system,mask size,mask selection,principal component analysis,multiresolution analysis,convolution,data mining,informatics,automation,image resolution,computer science,face recognition,face detection,face,pixel,pattern matching,probability | Computer vision,Distance measurement,Facial recognition system,Pattern recognition,Computer science,Multiresolution analysis,Pyramid,Pixel,Artificial intelligence,Face detection,Pattern matching,Image resolution | Conference |
Volume | Issue | ISSN |
null | null | null |
ISBN | Citations | PageRank |
978-0-7695-3658-3 | 0 | 0.34 |
References | Authors | |
6 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Khandaker Abir Rahman | 1 | 20 | 5.19 |
| Md. Shafaeat Hossain | 2 | 8 | 4.25 |
| Md. Al-Amin Bhuiyan | 3 | 12 | 2.43 |
| Tao Zhang | 4 | 422 | 100.57 |
| Md. Hasanuzzaman | 5 | 49 | 8.75 |
| Haruki Ueno | 6 | 129 | 18.02 |