Fingerprint recognition is implemented on Ti DSP chip Ti 5402. The algorithm is prompt and practicable. Enhance part adopts a fast orientation filter to improve inputting image quality combining fast orientation interpolation method. On the other hand, the orientation field is used in fingerprint image segment. Matching part uses point match method and combines some post-processing in order to get good match result. One fusion way is introduced in enrollment. In DSP implement phase, the system frame adopts one kind of dispatched system structure aiming at the 5402 features. Otherwise the algorithm of fingerprint recognition is modified and optimized based on DSP instructions. Experiment result indicates that system performance is good.
This paper introduces a MAP-MRF (Maximum A posteriori Probability estimation of Markov Random Field) model using the relational structures among features for geometric transformation in fingerprint identification. Additionally, relational projected distances, a novel derivative features among a pair of minutiae, is used for transformation-invariant description. The promising experimental results of the method show that it is effective.
This paper proposes a scheme of designing an apparatus of digital certificate to replace the traditional digital certificate based on password. The apparatus uses the fingerprint identification technique to validate the user and enhance the security of the digital certificate. The safe microprocessor and SRAM in the apparatus prevent the digital certificate from being duplicated. In addition, the software/hardware cryptography and interaction with external computers through the USB interface make the digital certificate more secure than traditional digital certificate techniques based on password.