標題: 一個新的鞋印識別及分類之方法
A Novel Method for Shoeprints Recognition and Classification
作者: 何維中
Wei-Jong Ho
陳玲慧
Ling-Hwei Chen
多媒體工程研究所
關鍵字: 法庭科學;鞋印;傅立葉轉換;灰度伴隨矩陣;主軸轉換;forensic science;shoeprint;Fourier transform;co-occurrence matrix;principal component transform
公開日期: 2006
摘要: 本篇論文中我們提出了一個新的自動處理鞋印影像的方法。鞋印是犯罪現場中十分常見之線索,其最主要的特徵便是其紋理的方向性。論文中,我們利用影像之灰度伴隨矩陣(co-occurrence matrices)、方向矩陣(directional matrix)及傅立葉轉換(Fourier transform)來截取出鞋印紋理之方向性特徵以做為比對的依據。由於在前處理上使用主軸轉換(principal component transform),本方法並不會因為影像之旋轉或位移等失真造成錯誤的結果。實驗結果顯示,本方法能夠有效的識別各式的鞋印。
In this thesis, we present a method for automatically classifying/recognizing the shoeprint images based on the outsole pattern. Shoeprints are distinctive patterns often found at crime scenes that can provide valuable forensic evidence. Directionality is the most obvious feature in these shoeprints. For extracting features corresponding to the directionality, co-occurrence matrices, Fourier transform, and a directional matrix are applied to the shoeprint image. And with the stage of principal component transform, the method is invariant to rotation and translation variance. Experiments of matching shoeprints are conducted on the database of 315 shoeprint images to demonstrate the performance of the method.
URI: http://140.113.39.130/cdrfb3/record/nctu/#GT009457521
http://hdl.handle.net/11536/82242
顯示於類別:畢業論文


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