Texture based features for robust palmprint recognition: a comparative study
نویسندگان
چکیده
منابع مشابه
Palmprint Recognition Based on Local Texture Features
In this paper, we propose and evaluate palmprint recognition method based on local Haralick features. The Haralick features are extracted from overlapping square subimages of a palmprint region of interest (ROI). A biometric template is composed of N m-component feature vectors, where N is the total number of overlapping subimages, and m is the number of local Haralick features per subimage in ...
متن کاملRobust Palmprint Recognition Based on Directional Representations
In this paper, we consider the common problem of automatically recognizing palmprint with varying illumination and image noise. Gabor wavelets can be well represented for biometric image for their similar characteristics to human visual system. However, these Gabor-based algorithms are not robust for image recognition under non-uniform illumination and noise corruption. To improve the recogniti...
متن کاملTexture Recognition Using Robust Markovian Features
We provide a thorough experimental evaluation of several state-of-the-art textural features on four representative and extensive image databases. Each of the experimental textural databases ALOT, Bonn BTF, UEA Uncalibrated, and KTH-TIPS2 aims at specific part of realistic acquisition conditions of surface materials represented as multispectral textures. The extensive experimental evaluation pro...
متن کاملPalmprint Recognition Using Ridge Features
This Palm print recognition implements many of matching characteristics as of finger print recognition and both biometrics are represented by the information present on the friction ridge impression. Palm prints differ from finger prints in a way since they contain many features and they have more discriminative regions than fingerprints. Because palm prints are both unique and permanent, they ...
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 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: EURASIP Journal on Information Security
سال: 2015
ISSN: 1687-417X
DOI: 10.1186/s13635-015-0022-z