{"title":"Biometric Authentication Using Palm Dorsal Vein Patterns","authors":"Y. Pititeeraphab, C. Pintavirooj","doi":"10.1109/BMEiCON47515.2019.8990269","DOIUrl":null,"url":null,"abstract":"Palm-dorsa vein pattern, was a new technology for security system because it has more reliable and easy to capture by low resolution devices. This research focuses on the development of palm-dorsa vein pattern identification By using the pattern of palm-dorsa vein of the hand in each person to extraction. We use radius distance methods to find the position of the the concave of the finger from the hand contour. The radius distance method is highly flexible, accurately detecting the curves of concave point. We use these reference points to detect regions of interest. The sample images are acquired from the simple and low-cost acquisition system. The experimental results demonstrate the efficiency of the proposed method.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 12th Biomedical Engineering International Conference (BMEiCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BMEiCON47515.2019.8990269","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Palm-dorsa vein pattern, was a new technology for security system because it has more reliable and easy to capture by low resolution devices. This research focuses on the development of palm-dorsa vein pattern identification By using the pattern of palm-dorsa vein of the hand in each person to extraction. We use radius distance methods to find the position of the the concave of the finger from the hand contour. The radius distance method is highly flexible, accurately detecting the curves of concave point. We use these reference points to detect regions of interest. The sample images are acquired from the simple and low-cost acquisition system. The experimental results demonstrate the efficiency of the proposed method.