| Summary: | 碩士 === 國立交通大學 === 電機學院電機與控制學程 === 101 === Fingerprint identification system is widely used in biometric system, and furthermore it is full of potential to use in mobile devices. However, to enhance the recognition rate reliable and to keep off erroneous identification are the main issues in development. In recent years, FTIR with a sheet prism based fingerprint identification devices have been used in mobile devices due to their higher gray level and lower cost. It is easy to form noises from the background light or mirror scratches but the relative researches of improvement are rarely discussed. In this thesis, we developed a novel fingerprint image enhancement algorithm and integrated with fingerprint mosaicking process as a complete fingerprint identification system.
This system has two characteristics, first, we presented an image enhancement algorithm, which used the Butterworth bandpass filter to percolate intermediate noises, and designed a direction filter to correct information of ridges that we can separate some unclear fingerprint lines and filter off noises effectively. The experiment results show the algorithms could improve the recognizable ability of single fingerprint identification, reach to 14.4%. Second, we used the fingerprint mosaicking techniques to characterize the difference value between the before and after images that we could mosaick the fingerprint images. Thus, the identification system which integrated with enhancement algorithm and fingerprint mosaicking technique shows the comparable results of single image and mosaicking dual images under different experiment surroundings and databases, respectively. These results could be good references to use in fingerprint identification enhancement.
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