2021 Enhanced Standard Compatible Image Compression Framework Ba

2021 Enhanced Standard Compatible Image Compression Framework Based on Auxiliary Codec Networks

2021 Invertible Resampling-based Layered Image Compression

2021 Invertible Resampling-based Layered Image Compression

2021 Synthetic Aperture Radar Image Compression Based on a Varia

2021 Synthetic Aperture Radar Image Compression Based on a Variational Autoencoder.

图像压缩深度学习综合总结篇

图像压缩综合介绍

数字电子技术第二章 进制之间的转换

数字电子技术第二章 进制之间的转换

数字电子技术基础第一章

数字电子技术基础第一章描述

Python基础知识的再整理.md

Python基础知识

centos服务器使用教程.docx

centos服务器使用教程,注意怎么建立docker

FaceDetectionCNN

FaceDetectionCNN

Fast Sparse Representation

As a novel biometric, Finger-Knuckle-Print (FKP) has received great interest in recent years, and has become a hot research spot of biometric recognition. Due to its characteristic of uniqueness, easy accessibility, none abrasion and abundant texture, it has been widely applied to personal identification. But the spare representation based FKP method has not been reported yet. In this paper, a smooth l0 norm spare representation model based FKP algorithm is proposed. Firstly, an over-complete dictionary is constructed using the training samples, and then Local Binary Pattern (LBP) operator is used for feature extraction and dimension reduction. Finally, smooth l0 norm is used to solve the model, accelerate the recognition process, and improve its efficiency. Experimental results on FKP Database established by The Hong Kong Polytechnic University show that the proposed method has achieved competitive good results with the state-of-the-arts and has great potential in practical applications