本文選題：稀疏編碼 + 掌靜脈識(shí)別��； 參考：《北京郵電大學(xué)學(xué)報(bào)》2017年05期

【摘要】：為提高手掌靜脈特征識(shí)別的準(zhǔn)確率和效率,提出了基于特定方向多尺度稀疏編碼(DMSC)方法.首先計(jì)算全局方向和局部方向,然后利用多尺度Gabor對(duì)劃分的子區(qū)域進(jìn)行獨(dú)立的多尺度方向?yàn)V波,并使用稀疏編碼方法進(jìn)行特征提取,利用外形編碼產(chǎn)生特征矩陣,使用標(biāo)準(zhǔn)化漢明距離方法對(duì)特征矩陣進(jìn)行相似性判斷.實(shí)驗(yàn)結(jié)果表明,DMSC方法的類間區(qū)分性較好,識(shí)別力和效率高于現(xiàn)有的手掌靜脈識(shí)別方法.
[Abstract]:In order to improve the accuracy and efficiency of palmar vein feature recognition, a multi-scale sparse coding (DMSC-based) method based on specific directions was proposed. First, the global direction and local direction are calculated, then the multi-scale Gabor is used to filter the sub-regions, and the sparse coding method is used to extract the feature, and the contour coding is used to generate the feature matrix. The method of normalized hamming distance is used to judge the similarity of feature matrix. The experimental results show that the DMSC method has better discriminating ability and efficiency than the existing palmar vein recognition method.
【作者單位】： 北京郵電大學(xué)信息與通信工程學(xué)院;
【分類號(hào)】：TP391.41
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本文編號(hào)：1860724