MultiModal-Database-XJTU:An Available Database for Biometrics Recognition with Its Performance Testing
The current need for large multimodal databases to evaluate automatic biometrics recognition systems has motivated the development of the XJTU multimodal database.The main purpose has been to consider a large scale population,with statistical significance,in a real multimodal procedure,and including several sources of variability that can be found in real environments.The acquisition process,contents and availability of the single-session baseline corpus are fully described.Some experiments showing consistency of data through the different acquisition sites and assessing data quality are also presented.MultiModal-Database-XJTU,a new multimodal database,is presented.The database consists of fingerprint images acquired with sensor,frontal face images from a camera,iris images from a Cannon scanner,and voice utterances acquired with a microphone.The MultiModal-Database-XJTU includes real multimodal data from 102 individuals.In this contribution,the acquisition setup and protocol are outlined,and the contents of the database are described.The database will be publicly available for research purposes.
Multi-focus image fusion Quantum particle swarm optimization Perfect reconstruction Superior speed
Dongpeng Shang Xinman Zhang Jiuqiang Han Xuebin Xu
MOE Key Lab for Intelligent Networks and Network Security,School of Electonics and Information Engin Xian Jiaotong Univeristy Guangdong Province Shunde Research Insitute,Foshan,528000,China
国际会议
重庆
英文
521-526
2017-10-03(万方平台首次上网日期,不代表论文的发表时间)