基于過(guò)零檢測(cè)的虹膜特征提取算法
Iris Feature Extracting Algorithm Based on Zero-Crossing Detection
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摘要: 該文針對(duì)虹膜圖像不理想、噪聲影響較大情況下，虹膜識(shí)別率下降的問(wèn)題，提出了一種基于過(guò)零檢測(cè)的虹膜特征提取算法，利用過(guò)零檢測(cè)算子與信號(hào)局部的相關(guān)性提取虹膜紋理特征，并根據(jù)所得的系數(shù)進(jìn)行符號(hào)編碼形成二值特征模板，最后采用相似度進(jìn)行模式分類。仿真結(jié)果表明，該算法能夠提取不理想虹膜圖像的穩(wěn)定特征，提高識(shí)別率。
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關(guān)鍵詞:
- 圖像識(shí)別;過(guò)零檢測(cè);編碼;特征提取;相似度
Abstract: In order to resolve the problem of recognition rate decrease in condition of unideal iris image and local noise，an iris feature extracting algorithm based on local zero-crossing detection is presented in this paper. This method extracts iris texture feature by using local relativity of zero-crossing operator and texture signal, then encodes iris texture to form iris feature template depend on coefficient sign, finally classifies different patterns using similarity. Simulation results show that stable feature of unideal iris image can be extracted and high recognition rate can be achieved using the algorithm. -
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