摘要： 利用嵌入式隐马尔可夫模型(Embedded Hidden Markov Models，E-HMM)对指纹方向场进行建模分析，通过合理地抽取指纹的类型特征，构造观察向量、进行建模训练，然后利用训练好的马尔可夫模型进行匹配，提出并实现了一种新的鲁棒性强且精度较高的指纹匹配方法。

关键词: 指纹识别；指纹匹配；HMM；方向场

Abstract: A novel method of fingerprint matching, which is based on embedded hidden Markov model (E-HMM) used for modeling the fingerprint’s orientation field is described. The accurate and robust fingerprint matching can be achieved by matching E-HMM parameters which are built after the processing of extracting features from a fingerprint, forming the samples of observation vectors and training the E-HMM parameters.

Key words: Fingerprint identification; Fingerprint matching; HMM; Orientation field