The invention relates to a recognition method and a recognition device based on biological characteristics. According to the recognition method,
wavelet packet multilayer
decomposition characteristic parameters are used for generating new
frequency characteristic quantities; due to the fact that
wavelet coefficients have a large difference, energy of signals at all
decomposition nodes not only can reflect
energy distribution of the signals in all frequency bands, but also has
translation invariance, as a result, the
frequency characteristic quantities can highly reflect user characteristics and improve the recognition rate of user signatures; and further,
fingerprint characteristics and handwritten signature characteristics are combined,
fingerprint information is collected while a user gives a signature, and therefore a high recognition rate of fingerprints is used for making up for a low high recognition rate of handwritten signatures. Accordingly, a
handwriting pen provided with a
fingerprint collection module at the pen holding end in an inlaid mode is used, and therefore the fingerprint information of the user can be collected while the user gives the signature, namely two types of information can be collected at the time of one action. A biometric
feature recognition system which combines the fingerprints and the handwritten signatures and is studied out according to the thinking is high in recognition rate and acceptability.