基于不变性矩的改进pca个人识别方法

2005 3rd International Conference on Intelligent Sensing and Information Processing Pub Date : 2005-12-14 DOI:10.1109/ICISIP.2005.1619443

C. Nadee, P. Kumhom, K. Chamnongthai

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引用次数: 6

摘要

由于基于pca的牙齿图像个人识别方法(K. Prajuabklang, et, 2004)对反射和定向的鲁棒性不强，数据库中登记的人被拒绝的概率在7%左右。本文提出了一种改进基于pca的牙齿图像个人识别方法。该方法通过反馈图像来重新考虑基于pca的系统中匹配失败的牙齿图像，以消除反射和旋转问题。将增强后的牙齿图像反馈到主成分分析(PCA)中，以挽救误分类的牙齿图像。在实验中，用20个牙齿数据库对25个牙齿图像进行测试。结果表明，在这两个问题导致的7%的错误中，由于所提出的方法，5%的错误被正确识别

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Improved PCA-Based Personal Identification Method Using Invariance Moment

Since PCA-based teeth-image personal identification method (K. Prajuabklang, et al., 2004) is not robust against reflection and orientation, registered persons in database are rejected around 7%. This paper proposes a method to improve the PCA-based teeth-image personal identification method. In this method, the teeth image failed from the matching in the PCA-based system is reconsidered by feeding back the image to eliminate the reflection and the rotation problems. The enhanced teeth image is fed back to PCA process in order to rescue misclassified teeth-image. In the experiments, 25 teeth images are tested with 20-teeth database. The results revealed that of the 7% errors caused by the two problems, 5% are correctly identified because of the proposed method

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2005 3rd International Conference on Intelligent Sensing and Information Processing

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