期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：1
页码：228-231
出版社：TechScience Publications
摘要：Recognition of people by means of their biometric characteristics very popular among the society. Among this, fingerprint recognition is an important technology for personal identification due to its unique structure. Large volume of fingerprint are collected and stored everyday in a wide range of applications. In this context, the compression of these data may become imperative under certain circumstances due to the large amounts of data involved. This paper compare different compression standards like JPEG,JPEG-2000,WSQ,KSVD etc. A new compression standards based on sparse representation also introduced. The experiments demonstrate that this is efficient compared with several competing compression techniques especially at high compression ratios.
