完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.author | Chu, Chia-Te | |
| dc.contributor.author | Chen, Ching-Han | |
| dc.date.accessioned | 2009-06-02T06:38:11Z | |
| dc.date.accessioned | 2020-05-25T06:43:18Z | - |
| dc.date.available | 2009-06-02T06:38:11Z | |
| dc.date.available | 2020-05-25T06:43:18Z | - |
| dc.date.issued | 2006-10-12T07:59:53Z | |
| dc.date.submitted | 2004-12-15 | |
| dc.identifier.uri | http://dspace.lib.fcu.edu.tw/handle/2377/1083 | - |
| dc.description.abstract | In this paper, a new technique is proposed for high efficiency iris recognition, which adopts 1-D wavelet transform to extract iris texture feature and probabilistic neural network (PNN) to recognize iris pattern. A comparative experiment of existing methods for iris recognition is evaluated on CASIA iris image databases. The results reveal the proposed algorithm possesses a very high efficiency and low dimensionality of feature vectors than existing methods. | |
| dc.description.sponsorship | 大同大學,台北市 | |
| dc.format.extent | 6p. | |
| dc.format.extent | 271557 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | zh_TW | |
| dc.relation.ispartofseries | 2004 ICS會議 | |
| dc.subject | iris recognition | |
| dc.subject | wavelet transform | |
| dc.subject | probabilistic neural network | |
| dc.subject.other | Bioinformatics | |
| dc.title | High Efficiency Iris Feature Extraction Based on 1-D Wavelet Transform | |
| 分類: | 2004年 ICS 國際計算機會議 | |
文件中的檔案：
| 檔案 | 描述 | 大小 | 格式 | |
|---|---|---|---|---|
| ce07ics002004000174.pdf | 265.19 kB | Adobe PDF | 檢視/開啟 |
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