Fragile Bits in Palmprint Recognition
Fragile Bits in Palmprint Recognition
复制标题
DOI：
10.1109/lsp.2012.2211589
复制
发表时间：
2012-08
影响因子：
3.9
通讯作者：
Lin Zhang;Hongyu Li;Junyu Niu
中科院分区：
文献类型：
--
作者：
Lin Zhang;Hongyu Li;Junyu Niu
近年来，人们对开发自动掌纹识别方法越来越感兴趣。其中，使用二进制编码表示掌纹纹理的基于编码的方法最为流行和成功。我们发现，在由特定编码方案生成的码图中，并不是所有的比特都是相等一致的。如果从同一掌纹的不同图像创建的代码地图上比特的值发生变化，则认为比特是脆弱的。本文首先分析了一种最新的掌纹编码方案--二值方向共生向量(BOCV)中的脆位现象。然后，在分析的基础上，通过适当的方式加入脆性比特信息，将BOCV扩展到E-BOCV。在基准数据集上进行的实验表明，在所有已有的掌纹验证方法中，E-BOCV能够达到最高的验证精度。据我们所知，这是研究基于编码的掌纹识别方法的脆弱部分的第一项工作。
Recent years have witnessed a growing interest in developing automatic palmprint recognition methods. Among them, coding-based ones, representing the texture of a palmprint using a binary code, are most prevalent and successful. We find that not all bits in a code map generated by a specific coding scheme are equally consistent. A bit is deemed fragile if its value changes across code maps created from different images of the same palmprint. In this paper, we first analyze the fragile bits phenomenon in a state-of-the-art palmprint coding scheme, namely, binary orientation co-occurrence vector (BOCV). Then, based on our analysis, we extend BOCV to E-BOCV by incorporating fragile bits information in appropriate ways. Experiments conducted on the benchmark dataset demonstrate that E-BOCV can achieve the highest verification accuracy among all the state-of-the-art palmprint verification methods evaluated. To our knowledge, this is the first work investigating the fragile bits of coding-based palmprint recognition approaches.