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نتیجه جستجو - رگ انگشت

تعداد مقالات یافته شده: 3
ردیف عنوان نوع
1 Finger vein pattern recognition using image processing technique
تشخیص الگوی رگ انگشت با استفاده از تکنیک پردازش تصویر-2021
Human identification based on finger vein pattern is an interesting branch of biometric recognition that is getting attention among the researchers in the recent decade as vein patterns are unique such as iris recognition, face recognition, finger print for authentication and security purposes. The vein pattern uti- lized in this authentication technology refers to the image of vessels within the body which will be seen as a random mesh at the surface of the body. Vein pattern authentication can be applied to almost all people. In the proposed system we have used simple and easy algorithms for processing. The processing steps include image enhancement, thresholding and thinning. The processed images are matched with the images in the database. Thus the proposed biometric system will be effectively used in authentication and security purposes.© 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the 12th National Conference on Recent Advancements in Biomedical Engineering.
Keywords: Fingerprint | Vein recognition | Pattern matching
مقاله انگلیسی
2 A multibiometric system based on the fusion of fingerprint, finger-vein, and finger-knuckle-print
یک سیستم چند سنجی مبتنی بر ادغام اثر انگشت ، ورید انگشت و چاپ انگشتان دست-2021
Authentication systems play an essential role in our lives today. Human biological, behavioral, and morpho- logical characteristics are usually used in an authentication system in a vast scope of applications ranging from unlocking consumer devices to surveillance and forensic analysis and offered an alternative to credit cards, ID cards, passports, driving licenses, etc. Unibiometric systems, which use a single biometric modality, suffer from some drawbacks such as low protection of user’s privacy against attacks. Multibiometric systems, which fusefeatures of biometric characteristics, can cope with unibiometric systems’ drawbacks and improve security andrecognition accuracy. However, some main questions such as ‘what is the optimal number of biometric mo- dalities?’, ‘how much accuracy do we need for our system?’, and ‘how much money do we want to invest for our system?’ have to be considered and answered before designing and implementing a multibiometric system. Unfortunately, the existing multibiometric systems have not considered and responded to all questions. Furthermore, identification mode for multibiometric systems is a challenging task and almost all of them have focused on verification mode. In this paper, we only consider a finger and employ the maximum possible mo-dalities of the finger, i.e., fingerprint, finger-vein, and finger-knuckle-print, to increase user-friendliness and reducing the cost of implementation of the system. The proposed system only uses three cameras to capture all contactless fingerprint, finger-vein, and finger-knuckle images. Also, we propose an algorithm that makes enable the system to work in identification mode. The experiments on established databases exhibit that our proposed algorithm significantly increases recognition accuracy.
Keywords: Fingerprint | Finger-vein | Finger-knuckle-print | Multibiometrics | Information fusion
مقاله انگلیسی
3 The biometric recognition system based on near-infrared finger vein image
سیستم تشخیص بیومتریک بر اساس تصویر رگ انگشت نزدیک مادون قرمز-2021
It is a difficult task to extract vein features accurately since the finger-vein images captured by near infrared light are always poor in quality. This paper proposes a novel finger vein feature representation scheme based on pyramid histograms of oriented gradients and local phase quantization. As the vein networks consist of abundant texture and orientation features, a texture feature description operator at various scales is employed on the finger vein image to reduce the effects of geometric deformation occurred image acquisition due to the different posture and position of fingers. To solve the adverse effects of image blurring caused by uneven illumination, local phase quantization is then introduced to extract vein features. Finally, the above mentioned extracted two kinds of texture characteristics of vein image are fused at feature level by concatenated histograms to obtain accurate vein feature named pyramid local phase quantization histogram (PLPQ). In this way, we encode the vein image in- formation not only in frequency domain but also among different orientations and scales. We perform rigorous experiments on two publicly available databases named FV-USM and MMCBUN, and the results of the experiments reveal that proposed fusion system can make promising improvement of finger vein recognition performance.
Keywords: Finger texture | Finger vein recognition | Pyramid histogram of oriented gradients | Local phase quantization
مقاله انگلیسی
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