CASIA HFB Database

       CASIA HFB Database Version 1 consists of 100 subjects in total, including 57 males and 43 females. There are 4 VIS and 4 NIR face images per subject. For the 3D faces, there are 2 face images per subject for 92 subjects and 1 per subject for the other 8 subjects.

Details(including data format, agreement and application procedure) of this database can be found here

　　CASIA Iris Image Database

        CASIA Iris Image Database Version 3 (CASIA-IrisV3) includes three subsets which are labeled as CASIA-IrisV3-Interval, CASIA-IrisV3-Lamp and CASIA-IrisV3-Twins. Different characteristics of the iris image subsets make it possible to study specific research issues of iris recognition, such as robustness of iris recognition against illumination changes, iris recognition of twins, etc.

• Image type: Gray Image Palmprint Databases
• Size of Database: 22,051 images
• Class Information: More than 700 subjects
• Sensor: Self-developed iris sensor and a hand held iris camera produced by OKI.

Details(including data format, agreement and application procedure) of this database can be found here
Download the Application Form

　　Casia Gait Database

        The establishment of the CASIA Gait Database aims to provide data for the development of gait recognition algorithms.
        Details(including data format, agreement and application procedure) of this database can be found here.