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Development of Palmprint Verification System Using Biometrics
作者姓名:G. Shobha  M. Krishna  S.C. Sharma
作者单位:R.V. College of Engineering Mysore Road Bangalore 560059 India,R.V. College of Engineering Mysore Road Bangalore 560059 India,R.V. College of Engineering Mysore Road Bangalore 560059 India
摘    要:1 Introduction Reliability in personal authentication is key to the security in any transactional database. Many physiological characteristics of humans i.e., biometrics, are typically time invariant, easy to acquire, and unique for every individual. Biom…

关 键 词:灰色图象  边缘追踪  顶点检测  验证系统
修稿时间:2004年7月20日

Development of Palmprint Verification System Using Biometrics
G. Shobha,M. Krishna,S.C. Sharma.Development of Palmprint Verification System Using Biometrics[J].Journal of Software,2006,17(8):1824-1836.
Authors:G Shobha  M Krishna  SC Sharma
Affiliation:R.V. College of Engineering, Mysore Road, Bangalore 560059, India
Abstract:Palmprint verification system using Biometrics is one of the emerging technologies, which recognizes a person based on the principle lines, wrinkles and ridges on the surface of the palm. These line structures are stable and remain unchanged throughout the life of an individual. More importantly, no two palmprints from different individuals are the same, and normally people do not feel uneasy to have their palmprint images taken for testing. Therefore palmprint recognition offers a promising future for medium-security access control systems. In this paper, a new approach for personal authentication using hand images is discussed. Gray-Scale palm images are captured using a digital camera at a resolution of 640′480. Each of these gray-scale images is aligned and then used to extract palmprint and hand geometry features. These features are then used for authenticating users. The image acquisition setup used here is inherently simple and it does not employ any special illumination nor does it use any pegs that might cause any inconvenience to users. Experimental results show that the designed system achieves an acceptable level of performance.
Keywords:gray scale image  image binarization  thersholding  boundary tracking  peak detection  features  normalization  hand geometry
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