Palm-dorsa vein image enhancement algorithm using webcam for biometric system

APPLIED PHYSICS OF CONDENSED MATTER (APCOM 2019) Pub Date : 2019-07-30 DOI:10.1063/1.5118147

S. Yusoff, A. Ramli, Izanoordina Ahmad, Z. Mustafa

{"title":"Palm-dorsa vein image enhancement algorithm using webcam for biometric system","authors":"S. Yusoff, A. Ramli, Izanoordina Ahmad, Z. Mustafa","doi":"10.1063/1.5118147","DOIUrl":null,"url":null,"abstract":"In this article, an algorithm for palm-dorsa vein image enhancement is proposed. Instead of using expensive high-quality vein image capture device, a low-cost webcam was used to capture the vein image. The webcam has been modified to make it possible to capture the vein image of palm-dorsa. In this research, the algorithm to enhance the low-quality vein image, remove the noise and finally detect the palm-dorsa vein pattern has been developed. First, the vein image is applied with image normalization technique to obtain standard image. Then, the Gaussian filter is used to remove the noise in the vein image. Next, Difference of Gaussian and threshold techniques are used to segment the vein image. Median filter is used to remove and smooth the noise introduced from the previous image segmentation process. Finally, thinning technique is used to get single line palm-dorsa vein pattern. Even though the vein images from webcam are noisy and very low contrast, results show that the proposed algorithm still can get good vein image enhancement.In this article, an algorithm for palm-dorsa vein image enhancement is proposed. Instead of using expensive high-quality vein image capture device, a low-cost webcam was used to capture the vein image. The webcam has been modified to make it possible to capture the vein image of palm-dorsa. In this research, the algorithm to enhance the low-quality vein image, remove the noise and finally detect the palm-dorsa vein pattern has been developed. First, the vein image is applied with image normalization technique to obtain standard image. Then, the Gaussian filter is used to remove the noise in the vein image. Next, Difference of Gaussian and threshold techniques are used to segment the vein image. Median filter is used to remove and smooth the noise introduced from the previous image segmentation process. Finally, thinning technique is used to get single line palm-dorsa vein pattern. Even though the vein images from webcam are noisy and very low contrast, results show that the proposed algorithm still can ge...","PeriodicalId":112912,"journal":{"name":"APPLIED PHYSICS OF CONDENSED MATTER (APCOM 2019)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"APPLIED PHYSICS OF CONDENSED MATTER (APCOM 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1063/1.5118147","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

In this article, an algorithm for palm-dorsa vein image enhancement is proposed. Instead of using expensive high-quality vein image capture device, a low-cost webcam was used to capture the vein image. The webcam has been modified to make it possible to capture the vein image of palm-dorsa. In this research, the algorithm to enhance the low-quality vein image, remove the noise and finally detect the palm-dorsa vein pattern has been developed. First, the vein image is applied with image normalization technique to obtain standard image. Then, the Gaussian filter is used to remove the noise in the vein image. Next, Difference of Gaussian and threshold techniques are used to segment the vein image. Median filter is used to remove and smooth the noise introduced from the previous image segmentation process. Finally, thinning technique is used to get single line palm-dorsa vein pattern. Even though the vein images from webcam are noisy and very low contrast, results show that the proposed algorithm still can get good vein image enhancement.In this article, an algorithm for palm-dorsa vein image enhancement is proposed. Instead of using expensive high-quality vein image capture device, a low-cost webcam was used to capture the vein image. The webcam has been modified to make it possible to capture the vein image of palm-dorsa. In this research, the algorithm to enhance the low-quality vein image, remove the noise and finally detect the palm-dorsa vein pattern has been developed. First, the vein image is applied with image normalization technique to obtain standard image. Then, the Gaussian filter is used to remove the noise in the vein image. Next, Difference of Gaussian and threshold techniques are used to segment the vein image. Median filter is used to remove and smooth the noise introduced from the previous image segmentation process. Finally, thinning technique is used to get single line palm-dorsa vein pattern. Even though the vein images from webcam are noisy and very low contrast, results show that the proposed algorithm still can ge...

查看原文本刊更多论文

基于网络摄像头的手掌背静脉图像增强算法

本文提出了一种掌背静脉图像增强算法。采用低成本的网络摄像头代替昂贵的高质量静脉图像采集设备进行静脉图像采集。网络摄像头已被修改，使其有可能捕捉掌背静脉图像。在本研究中，提出了对低质量静脉图像进行增强，去除噪声，最后检测掌背静脉模式的算法。首先，对静脉图像进行图像归一化处理，得到标准图像;然后，利用高斯滤波器去除静脉图像中的噪声。其次，利用高斯差分和阈值技术对静脉图像进行分割。中值滤波用于去除和平滑先前图像分割过程中引入的噪声。最后，采用细化技术得到单线掌背静脉图谱。实验结果表明，在网络摄像头采集到的静脉图像噪声大、对比度低的情况下，该算法仍能获得较好的静脉图像增强效果。本文提出了一种掌背静脉图像增强算法。采用低成本的网络摄像头代替昂贵的高质量静脉图像采集设备进行静脉图像采集。网络摄像头已被修改，使其有可能捕捉掌背静脉图像。在本研究中，提出了对低质量静脉图像进行增强，去除噪声，最后检测掌背静脉模式的算法。首先，对静脉图像进行图像归一化处理，得到标准图像;然后，利用高斯滤波器去除静脉图像中的噪声。其次，利用高斯差分和阈值技术对静脉图像进行分割。中值滤波用于去除和平滑先前图像分割过程中引入的噪声。最后，采用细化技术得到单线掌背静脉图谱。实验结果表明，在网络摄像头采集到的静脉图像噪声大、对比度低的情况下，该算法仍能有效地识别静脉图像。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

APPLIED PHYSICS OF CONDENSED MATTER (APCOM 2019)

自引率

0.00%

发文量