A Palmprint Recognition Algorithm Using Phase-Only Correlation
نویسندگان
چکیده
This paper presents a palmprint recognition algorithm using Phase-Only Correlation (POC). The use of phase components in 2D (two-dimensional) discrete Fourier transforms of palmprint images makes it possible to achieve highly robust image registration and matching. In the proposed algorithm, POC is used to align scaling, rotation and translation between two palmprint images, and evaluate similarity between them. Experimental evaluation using a palmprint image database clearly demonstrates efficient matching performance of the proposed algorithm. key words: biometrics, palmprint recognition, security, image recognition, phase-only correlation
منابع مشابه
A Contactless Palmprint Recognition Algorithm for Mobile Phones
Mobile phones have become indispensable and powerful digital devices to use many services. To protect mobile devices and stored data, biometric authentication would play an important role. This paper proposes a contactless palmprint recognition algorithm for mobile phones which combines a hand segmentation algorithm using skin-color thresholding and region growing and a palmprint matching algor...
متن کاملMultifeature Palmprint Recognitionusing Feature Level Fusion
Palmprint verification is an important tool for authentication of an individual and it can be of significant value in security and ecommerce applications. Palmprint identification has gained high impact over the other biometric modalities due to its reliability and high user acceptance. This paper presents a palmprint based identification approach which uses the Gabor wavelet to extract multipl...
متن کاملBiometric recognition based on the texture along palmprint principal lines
Palmprint recognition has been in the focus of biometric research over the last ten years. Here, a biometric system for palmprint recognition based in the texture of palmprint principal lines is proposed. Two novel methods for detection of principal lines using graph search algorithms are developed. One of the schemes performs particularly well at detected fully connected lines, which is an adv...
متن کاملLocal 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 کاملIllumination Invariant Feature Extraction for Multispectral Palmprint Verification
The aim of biometrics is to identify humans from their personal traits more efficiently using devices, algorithms and procedures for applications that require security and authentication. Multispectral image analysis has gained importance due to its potential for accurate and faster recognition performance. In this paper, Multispectral palmprint biometric system is proposed which uses the fusio...
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:
- IEICE Transactions
دوره 91-A شماره
صفحات -
تاریخ انتشار 2008