基于模糊测量的指纹图像评价性能分析

M. Khalil, F. Kurniawan
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引用次数: 0

摘要

处理从手机摄像头捕获的指纹图像是有问题的。解决了图像自由度大、模糊、杂波和弱脊谷图像等问题。本文主要研究指纹图像的模糊评价问题。为此,从不同的对象和不同的环境中采集指纹图像数据集,获得清晰模糊的指纹图像。该数据集的基础真值是由人类视觉分配的。根据文献,合适的模糊评价是基于无参考策略。因此,本文对现有的无参考模糊评估方法进行了改进,使其更适用于指纹图像。该方法取得了较好的效果,能够检测出模糊和清晰的指纹图像。
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Performance Analysis on the Assessment of Fingerprint Image Based on Blur Measurement
Processing the fingerprint image captured from the mobile phone camera is problematic. The addressed problem is such as degree of freedom, blurry, noisy and weak ridges-valleys images. In this paper, problem of blur assessment on fingerprint image is the main consent. In this regards, dataset of fingerprint image is collected from several subjects and different environment to obtain a clear and blur fingerprint image. The ground truth for this dataset is assigned by human vision. According to literature, the suitable blur evaluation is based on no-reference strategy. Hence, this paper modified existing no-reference blur assessment so it is suitable for fingerprint image. The proposed method achieved promising result and able to detect blur and clear fingerprint image.
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