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題名 | 指紋辨識灰關聯之研究 |
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作 者 | 李明諒; 周寶華; 胡永柟; 王怡然; 李義隆; 陳茂林; | 書刊名 | 南開學報 |
卷期 | 7(上) 民91.06 |
頁次 | 頁393-402 |
分類號 | 312.1 |
關鍵詞 | 指紋辨識; 影像處理; 灰色理論; 灰關聯度; Fingerprint recognition; Gray theory; Gray relational grade; |
語文 | 中文(Chinese) |
中文摘要 | 本研究利用指紋辨識模組,擷取指紋圖像與影像處理技術,對所抓取之指紋作前處理,抓取特徵值,並利用灰色理論之灰關聯度,分析比對指紋之正確性與預測排序指紋之關聯性。 傳統指紋辨識系統與掃描圖像的技術已行之有年,通常是以影像處理系統或指紋模組掃描圖像,並對掃描取得之指紋圖像作前處理,前處理包括了:去雜訊、二值化、細線化、平滑遮罩、強化影像…等等。接著建檔成資料庫,抓取特徵值或特徵點再從資料庫中比對,驗證比對結果是否正確,但若對於指紋影像有破損殘缺亦或是指紋數目不足五根者,則無法顯示出正確性,指紋比對當然也無法成功。 有鑑於此,吾人加入了網色理論之灰關聯度,藉由其比對及預測關聯度之特點,與傳統指紋辨識方法作一比較與驗證,並達成理論與實務之結合。 |
英文摘要 | Traditional image processing technique applied to fingerprint (including pre-processing, de-noise, binary method, thinning, intense image...etc) has been using for a longtime. But, if the fingerprint has been damaged or something missing, the accuracy of recognition will become very poor. In order to conquer this, we propose a finger print recognition system by using image process technique currently in use but combine with gray theory. Gray relational grade in gray theory can make the fingerprint recognition become more clearly and accurately. We hope that the results proposed by this new idea can get very good fingerprint recognition accuracy. Besides, we also compare with the traditional technique to show that the idea we propose is really working. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。