Along with the rapid development of biometric identification techniques, the fingerprint identification is becoming a significant subject. Automated fingerprint identification is a method to identify a person based on his fingerprint physiological characteristics. This paper presents an automatic fingerprint capture and preprocessing system with a fixed point DSP, TMS320VC5510A and a fingerprint sensor, FPC1011C. This system supplies two types of power: 1) wall adapter power, which can automatically switch from the wall adapter power to the battery in case of power-fail or brownout conditions, and 2) battery . With the interactive module , keyboard and the LCD in this system, the algorithm can run smoothly to realize the fingerprint processing. © Springer-Verlag 2009.
CITATION STYLE
Shi, H., & Xie, M. (2009). Realization of fingerprint identification on DSP. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5821 LNCS, pp. 525–532). https://doi.org/10.1007/978-3-642-04843-2_56
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