Algorithm of fingerprint extraction and implementation based on OpenCV

2017 2nd International Conference on Image, Vision and Computing (ICIVC) Pub Date : 2017-06-02 DOI:10.1109/ICIVC.2017.7984539

Yue Yaru, Zhu Jialin

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引用次数: 5

Abstract

At present, OpenCV function library is applied more and more widely, and it is used in digital image processing to solve some problems of image processing, and it can improve the effectiveness of image processing. Commonly it is easy to cause the loss of image detail for the Otsu method, in order to solve these problems the Otsu method is improved. In the case of uneven illumination and blurred image, it can segment the target, and the result is accurate, simple and shorter running time. What's more, it can reduce the amount of computation and storage space. In general, it is a fast and effective and good real-time image threshold segmentation algorithm. This paper uses the OpenCV functions to achieve a fingerprint extraction algorithm. The algorithm uses the Otsu algorithm improved to get the best threshold that it can segment image. Simulation experiment is carried out by using object-oriented Vc++6.0 programming tools, and it proves that the fingerprint extraction algorithm based on OpenCV function library is effective. It can improve the accuracy of fingerprint extraction, and image likes real image. Give some code.

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基于OpenCV的指纹提取算法及实现

目前，OpenCV函数库的应用越来越广泛，并将其应用于数字图像处理中，解决了图像处理中的一些问题，提高了图像处理的有效性。一般的Otsu方法容易造成图像细节的丢失，为了解决这些问题，对Otsu方法进行了改进。在光照不均匀、图像模糊的情况下，能够对目标进行分割，结果准确、简单、运行时间短。更重要的是，它可以减少计算量和存储空间。总的来说，它是一种快速有效、实时性好的图像阈值分割算法。本文利用OpenCV函数实现了一种指纹提取算法。该算法采用改进的Otsu算法，得到图像分割的最佳阈值。利用面向对象的vc++ 6.0编程工具进行仿真实验，证明了基于OpenCV函数库的指纹提取算法是有效的。提高了指纹提取的准确性，使指纹图像更接近真实图像。给出一些代码。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2017 2nd International Conference on Image, Vision and Computing (ICIVC)

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