鈔券印刷特性結合數位影像處理應用於偽鈔之辨識

因為人工色料無法像色光RGB三原色調和成自然色光，所以一般商業印刷方式，大多是採用CMYK四色分版或四色疊印的方式進行印刷。鈔券印製採用特殊且多樣的印刷版式，具有特殊的色調及版紋，與一般傳統印刷、影印機或印表機有所不同。本文針對鈔票印製所獨具的特性，經影像處理後提取特徵值，再由貝氏分類器進行檢測，以簡易的程序達成有效辨識偽鈔的目的。不同於一般偽鈔辨識機需採用特殊光源或背光方式，本文在一般光源環境下，即可進行鈔券的辨識。本文的論點可提供具有近拍功能的智慧型手機，以照像方式進行偽鈔票的辨識。

關鍵字

影像處理；鈔券辨識；貝氏分類器

並列摘要

Since artificial pigment can’t be mixed into natural light like RGB, most commercial printings takes CMYK four colors process or overprint to print. However, the banknotes printing commonly adopts special and multiple printing formats, with different hue and patterns, which is quite different from the traditional printing, photocopying and printers. Based on the unique characters of banknote printing, this paper extracts the characteristic value through image processing, and then detects them with Bayesian classifier, so as to identify the counterfeit banknotes via a simple program. Different to the common currency detectors that require specialized light or backlights, the method proposed in this paper can conduct identification under general light environments. Besides, this paper can also allow the smart phones with close-up photographing and the function of identifying counterfeit banknotes through camera.

並列關鍵字

image processing ； banknotes identification ； , Bayesian classifier

參考文獻

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[8] 黃識峰，鈔券防偽瑕疵之光學檢測，碩士論文，台北科技大學自動化科技研究所，台北，民國96年。

[9] Chin-Chen Chang , Tai-Xing Yu , Hsuan-Yen Yen , “Paper Currency Verification with Support Vector Machines”, Third International IEEE Conference on Signal-Image Technologies and Internet-Based System, 2008.

[11] 劉國書，應用隱藏馬可夫模型於偽鈔辨識之研究，碩士論文，台北科技大學自動化科技研究所，台北，民國101年。

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鈔券印刷特性結合數位影像處理應用於偽鈔之辨識

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