AUSVO new generation fingerprint algorithm has unique function of healing the broken lines in fingerprint image. Input fingerprint images captured from the sensors are noisy, in poor contrast, containing much flaw and smudge. Based on intensive analysis of the image characteristics, powerful image enhancement technique is developed, yielding high quality ridge image. Moreover, a lot of erroneous features are efficiently removed by noisy area reduction technique.Feature Matcher Efficient and stable fingerprint identification algorithm. AUSVO new generation fingerprint identification algorithm utilizes digital image matching combined with feature extracting algorithm as the research method.Main feature of the algorithm to ensure the university and applicability of fingerprint identification with an enrollment success rate of more than 99%.Fingerprint sensor with blue area source. AUSVO fingerprint sensor utilizes blue area source (a stable light in spectrum) as background light. The generated image fully matches the real one. Accurate and good in anti-interference. No latent fingerprint impact. The image generated by point source is opposite to the real one and easy to mistake the latent fingerprint for a real one which leaves an emerging security risk. The main feature is no latent fingerprint impact.
