Author(s)

Li Sina

Corresponding Author

Li Sina

Abstract

DSP is the core module of data processing and CPLD is the fingerprint recognition system of central controller. On the basis of reviewing the current development in this field, this paper focuses on the evaluation of fingerprint image recognition algorithm, and puts forward the necessity and method of comprehensively measuring the performance of fingerprint identification. By constructing the hardware environment based on ADIA DSP-BF533DSP, the embedded fingerprint recognition system is designed. However, artificial fingerprint inspection is very tedious, time-consuming and cannot meet the growing needs. Based on the comparison of various preprocessing methods and the characteristics of fingerprint images, the key techniques of fingerprint preprocessing are studied, including fingerprint image enhancement based on histogram equalization and Fourier transform. The effect of fingerprint recognition algorithm on the running speed of the system is studied. The experimental results are given. It is proved that the method can construct the embedded fingerprint identification system better. The effective gradient algorithm and GABOR algorithm are applied to the processing of fingerprint images to make the data processing more effective.

Keywords

Fingerprint recognition, system mode, recognition technology