期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2011
卷号：1
期号：4
页码：129-134
出版社：International Journal of Soft Computing & Engineering
摘要：Fingerprint verification is one of the most reliable personal identification methods and it plays a very important role in forensic applications like criminal investigations, terrorist identification and National security issues. Some fingerprint identification algorithm (such as using Fast Fourier Transform (FFT), Minutiae Extraction) may require so much computation as to be impractical. Wavelet based algorithm may be the key to making a low cost fingerprint identification system. Wavelet analysis and its applications to fingerprint verification is one of the fast growing areas for research in recent year. Wavelet theory has been employed in many fields and applications, such as signal and image processing, communication systems, biomedical imaging, radar, air acoustics, theoretical mathematics, control system, and endless other areas. However, the research on applying the wavelets to pattern recognition is still too weak. As the ridge structure in a fingerprint can be viewed as an oriented texture pattern. The paper proposes a fingerprint recognition technique based on wavelet based texture pattern recognition method. In view to older fingerprint recognition method; based on Fast Fourier Transform (FFT) and Minutiae Extraction, the proposed wavelet based technique results in high recognition rates.
