残缺指纹激光数据的走势推定

Trend inference of partial fingerprint laser data

残缺指纹在激光扫描下存在关联特征,但是,当前方法没有考虑特征关联性,指纹恢复效果差。提出一种新的残缺指纹激光数据推定方法。将采集的指纹激光扫描数据进行关联分类,依据分类的结果建立指纹特征之间输入输出关联关系表达式,通过该关联关系获取与输入残缺指纹对比,实现残缺指纹激光数据的走势推定。实验结果表明,所提技术推定精度高,可以有效恢复残缺指纹的激光特征。

There are correlation characteristics of partial fingerprint under laser scanning,however,the current method does not consider the characteristics relevance,which means fingerprint recovery effect is poor. Therefore,this paper puts forward a new method of partial fingerprint laser data trend inference. Associatively classify the collected laser scanning data of fingerprints. Establish the input and output expressions of fingerprint characteristics relationship according to the classification results. Realize the partial fingerprint laser data trend inference through the comparison of the correlation gain and input of the imperfect fingerprints. The experimental results show that the proposed technology has high estimation precision,and can effectively restore the laser characteristics of partial fingerprint.