基于小波和小波包变换的coiflet型小波对指纹图像的压缩性能分析

Rafiqul Islam, Farhad Bulbul, Shewli Shamim Shanta
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引用次数: 10

摘要

指纹分析在侦查犯罪、安保系统等重大法律事务中起着至关重要的作用。由于指纹图像数量多、尺寸大,必须采用数据压缩技术来降低指纹图像对存储和通信带宽的要求。为了做到这一点,有许多类型的小波被用于指纹图像压缩。在本文中,我们使用了Coiflet-Type小波,我们的目标是确定最合适的Coiflet-Type小波,以便更好地压缩数字化指纹图像,并实现我们的目标,在固定分解级别3使用小波和小波包变换确定不同Coiflet-Type小波在不同阈值下的保留能量(RE)和0数(NZ)的百分比。我们使用尺寸为480×400的8位灰度左拇指数字化指纹图像作为测试图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance analysis of Coiflet-type wavelets for a fingerprint image compression by using wavelet and wavelet packet transform
Fingerprint analysis plays a crucial role in crucial legal matters such as investigation of crime and security system. Due to the large number and size of fingerprint images, data compression has to be applied to reduce the storage and communication bandwidth requirements of those images. To do this, there are many types of wavelet has been used for fingerprint image compression. In this paper we have used Coiflet-Type wavelets and our aim is to determine the most appropriate Coiflet-Type wavelet for better compression of a digitized fingerprint image and to achieve our goal Retain Energy (RE) and Number of Zeros (NZ) in percentage is determined for different Coiflet-Type wavelets at different threshold values at the fixed decomposition level 3 using wavelet and wavelet packet transform. We have used 8-bit grayscale left thumb digitized fingerprint image of size 480×400 as a test image.
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