UC知道翻译：Abstract - Fingerprint image enhancement is a common
来源：百度知道 编辑：UC知道 时间：2024/07/04 11:39:42
翻译下面这一段话
Abstract - Fingerprint image enhancement is a common
and critical step in fingerprint recognition systems. To
enhance the images, most of the existing enhancement
algorithms use filtering techniques that can be categorized
into isotropic and anisotropic according to the filter kernel.
Isotropic filtering can properly preserve features on the
input images but can hardly improve the quality of the
images. On the other hand, anisotropic filtering can
effectively remove noises from the image but only when a
reliable orientation is provided. In this paper, we propose
an orientation estimation and verification algorithm which
can not only generate an orientation of ridge flows, but
also verify its reliability. Based on this algorithm, a hybrid
fingerprint enhancement algorithm is developed which
applies isotropic filtering on regions without reliable
orientations and anisotropic filtering on regions with
Abstract - Fingerprint image enhancement is a common
and critical step in fingerprint recognition systems. To
enhance the images, most of the existing enhancement
algorithms use filtering techniques that can be categorized
into isotropic and anisotropic according to the filter kernel.
Isotropic filtering can properly preserve features on the
input images but can hardly improve the quality of the
images. On the other hand, anisotropic filtering can
effectively remove noises from the image but only when a
reliable orientation is provided. In this paper, we propose
an orientation estimation and verification algorithm which
can not only generate an orientation of ridge flows, but
also verify its reliability. Based on this algorithm, a hybrid
fingerprint enhancement algorithm is developed which
applies isotropic filtering on regions without reliable
orientations and anisotropic filtering on regions with
摘要-指纹图像增强是一种常见的
关键步骤和指纹识别系统。至
加强图像，大多数现有的增强
算法使用过滤技术，可分为
到各向同性和各向异性根据过滤器的核心。
等方性过滤功能，能够妥善保存的
输入图像，但不能提高产品质量的
图像。另一方面，各向异性过滤可以
有效去除噪声的图像，但只有当
提供可靠的方向。在本文中，我们建议
方向估计和验证算法
不仅可以生成一个方向流动的山脊，但
也验证其可靠性。根据这一算法，混合
指纹图像增强算法，开发出
适用于各向同性过滤地区没有可靠
方向和各向异性过滤的地区
可靠的方针。实验结果表明，
提出的算法可以结合双方的优势
各向同性和各向异性过滤技术和
普遍提高教育质量的指纹图像。
关键词：指纹;方向估计;伽柏
过滤器;增强