Fourier Descriptors for Iris Recognition
نویسندگان
چکیده
منابع مشابه
Color Fourier-Mellin descriptors for image recognition
We propose new sets of Fourier-Mellin descriptors for color images. They are constructed using the Clifford Fourier Transform of Batard et al. (2010) and are an extension of the classical Fourier-Mellin descriptors for grayscale images. These are invariant under direct similarity transformations (translations, rotations, scale) and marginal treatment of colors images is avoided. An implementati...
متن کاملHandwritten Digit Recognition by Fourier-Packet Descriptors
Any statistical pattern recognition system includes a feature extraction component. For character patterns, several feature families have been tested, such as the Fourier-Wavelet Descriptors. We are proposing here a generalization of this family: the Fourier-Packet Descriptors. We have selected sets of these features and tested them on handwritten digits: the error rate was 1.55% with a polynom...
متن کاملHuman Silhouette Recognition with Fourier Descriptors
A novel approach for human silhouette recognition is presented. The method is based on Fourier descriptors. We made an analysis of which and how many descriptors are enough to have a general human silhouette representation, and concluded that a reduced number of components, low and high frecuency, is sufficient for representing a human silhouette and for its recognition in different posses. Bas...
متن کاملMultimodal Algorithm for Iris Recognition with Local Topological Descriptors
This work presents a new method for feature extraction of iris images to improve the identification process. The valuable information of the iris is intrinsically located in its natural texture, and preserving and extracting the most relevant features is of paramount importance. The technique consists in several steps from adquisition up to the person identification. Our contribution consists i...
متن کاملUsing Fourier Descriptors and Spatial Models for Traffic Sign Recognition
Traffic sign recognition is important for the development of driver assistance systems and fully autonomous vehicles. Even though GPS navigator systems works well for most of the time, there will always be situations when they fail. In these cases, robust vision based systems are required. Traffic signs are designed to have distinct colored fields separated by sharp boundaries. We propose to us...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computing and Digital Systemss
سال: 2017
ISSN: 2210-142X
DOI: 10.12785/ijcds/060507