A survey of palmprint recognition
نویسندگان
چکیده
Forensic and Security Laboratory School of Computer Engineering, Nanyang Technological University, Block N4, Nanyang Avenue, Singapore 639798 Biometrics Research Centre Department of Computing, The Hong Kong Polytechnic University Kowloon, Hong Kong Pattern Analysis and Machine Intelligence Research Group Department of Electrical and Computer Engineering University of Waterloo, 200 University Avenue West, Ontario, Canada
منابع مشابه
Local Derivative Pattern with Smart Thresholding: Local Composition Derivative Pattern for Palmprint Matching
Palmprint recognition is a new biometrics system based on physiological characteristics of the palmprint, which includes rich, stable, and unique features such as lines, points, and texture. Texture is one of the most important features extracted from low resolution images. In this paper, a new local descriptor, Local Composition Derivative Pattern (LCDP) is proposed to extract smartly stronger...
متن کاملA Survey on Biometric Authentication Techniques Using Palm Vein Feature
Palmprint recognition has been investigated over 10 years,After palmprint , fingerprints or iris digital, biometric identification of an individual can be done through the veins of the hand. This paper provides an overview of current biometric systems technology based on hand vein. We first review the component modules including the algorithms they employ. Finally, a summary of the accuracy res...
متن کاملRobust Palmprint Recognition Base on Touch-Less Color Palmprint Images Acquired
In order to make the environment of palmprint recognition more flexible and improve the accuracy of touchless palmprint recognition. This paper proposes a robust, touchless, palmprint recognition system which is based on color palmprint images. This system uses skin-color thresholding and hand valley detection algorithm for extracting palmprint. Then, the local binary pattern (LBP) is applied t...
متن کاملLearning Gabor Magnitude Features for Palmprint Recognition
Palmprint recognition, as a new branch of biometric technology, has attracted much attention in recent years. Various palmprint representations have been proposed for recognition. Gabor feature has been recognized as one of the most effective representations for palmprint recognition, where Gabor phase and orientation feature representations are extensively studied. In this paper, we explore a ...
متن کاملEmpirical study of light source selection for palmprint recognition
Most of the current palmprint recognition systems use an active light to acquire images, and the light source is a key component in the system. Although white light is the most widely used light source, little work has been done on investigating whether it is the best illumination for palmprint recognition. This study analyzes the palmprint recognition performance under seven different illumina...
متن کاملPalmprint recognition using multiscale transform, linear discriminate analysis, and neural network
Palmprint recognition is gaining grounds as a biometric system for forensic and commercial applications. Palmprint recognition addressed the recognition issue using low and high resolution images. This paper uses PolyU hyperspectral palmprint database, and applies back-propagation neural network for recognition, linear discriminate analysis for dimensionality reduction, and 2D discrete wavelet,...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Pattern Recognition
دوره 42 شماره
صفحات -
تاریخ انتشار 2009