Image Pattern Recognition - Synthesis and Analysis in Biometrics
ثبت نشده
چکیده
Follow up what we will offer in this article about image pattern recognition synthesis and analysis in biometrics. You know really that this book is coming as the best seller book today. So, when you are really a good reader or you're fans of the author, it does will be funny if you don't have this book. It means that you have to get this book. For you who are starting to learn about something new and feel curious about this book, it's easy then. Just get this book and feel how this book will give you more exciting lessons.
منابع مشابه
Fusing Face and Periocular biometrics using Canonical correlation analysis
This paper presents a novel face and periocular biometric fusion at feature level using canonical correlation analysis. Face recognition itself has limitations such as illumination, pose, expression, occlusion etc. Also, periocular biometrics has spectacles, head angle, hair and expression as its limitations. Unimodal biometrics cannot surmount all these limitations. The recognition accuracy ca...
متن کاملPattern Recognition Algorithms for Ear Biometrics
In this article we present geometrical Parameter algorithms for ear Biometrics by representing the Ear image as contours, feature extraction and recognition. The proposed algorithms were developed for ear biometrics, but they can be applied in other contour image processing applications. Firstly we present mathematical and algorithmic foundations of geometrical feature extraction methods. We al...
متن کاملComparison of PCA and MPCA with Different Databases for Face Recognition
Face recognition is one of the Biometric characteristics for person identification. In this paper, Face recognition is done using two feature extraction techniques PCA (Principal Component Analysis) and MPCA (Modular Principal Component Analysis). PCA is a linear projection method in which dimensionality reduction is applied to the original image space. MPCA is an improved version of PCA in whi...
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 کاملCorrelation Filter based Fingerprint Verification System
Biometrics is an important security tool which can be used for human identification and authentication to offer a higher level of security than conventional identification methods. Among all available biometrics, Fingerprints are a good choice as they are unique to a person. Fingerprint recognition is a complex pattern recognition problem. This paper proposes fingerprint verification based on c...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره 67 شماره
صفحات -
تاریخ انتشار 2007