Abstract | ||
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Biometric identification may be used in real-life applications like security, forensic and common smartphones. However to ensure the robustness of biometric methods, the proper pre-processing method has to be applied. In this paper we focus only on this part of the whole recognition process. Finding an appropriate method is crucial, especially when the identification system is dedicated to a mobile scenario. An image acquired by a smartphone may have lower quality, be more defected by noises and blurred. In this paper we discuss only palmprint as a feature that may distinguish people. It is used in identification systems but still is rarely implemented in mobile. |
Year | DOI | Venue |
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2017 | 10.1007/978-3-319-59162-9_28 | PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS CORES 2017 |
Keywords | Field | DocType |
Biometrics,Palmprint recognition,Image pre-processing | Computer vision,Pattern recognition,Computer science,Identification system,Robustness (computer science),Artificial intelligence,Biometrics,Image pre processing | Conference |
Volume | ISSN | Citations |
578 | 2194-5357 | 0 |
PageRank | References | Authors |
0.34 | 7 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Agata Wojciechowska | 1 | 0 | 0.34 |
Michał Choraś | 2 | 129 | 18.82 |
Rafal Kozik | 3 | 103 | 33.35 |