Fingerprint Blind Source Selection Based on FastICA in the Condition of Faintness and High Noise
Zhuo Wang · Modern Electronics Technique · 2009
Independent Component Analysis(ICA) is an effective approach for the separation of blind signal,and has attracted broad attention and has been successfully used in many fields.The basic theory of ICA and algorithm of FastICA are briefly introduced.In the condition of fingerprint left behind in alibi are almost faintness and high noise,a novel method based on FastICA is presented which selected clear and single fingerprint by blind source separation to identify the suspect.The result of blind source separation for the data show that the FastICA is an effective method in the fingerprint blind selection,fingerprint in the condition of faintness and high noise can be estimated and come back,which is of high reliability.