Biometric Database

Title:

Shandong University Machine Learning and Applications - Homologous Multi-modal Traits (SDUMLA-HMT)

Website:

http://mla.sdu.edu.cn/sdumla-hmt.html

Managing Organization:

Shadong University

Contributing Organizations:

Country:

China

Description:

This database consists of face images from seven view angles, finger vein images of six fingers, gait videos from six view angles, iris images from an iris sensor, and fingerprint images acquired with five different sensors. The database includes real multimodal data from 106 individuals. The face database consists of face images with different poses, facial expressions, accessories and illuminations. Iris data was captured under near infrared illumination. Every subject provided 10 iris images, i.e., five images for each of the eyes with 1,060 images in total. The gait database is composed of 6,996 videos in total and each video was captured with 6 different view angles, with/without carrying bag and different motion types. Fingerprint database includes images captured from the thumb, index finger and middle finger of both hands with 5 different types of sensors, i.e., a swipe fingerprint scanner, three optical fingerprint scanners and a capacitive fingerprint scanner. 8 impressions were captured for each of the 6 fingers using each of the 5 sensors. Finger vein database consists of 3,816 images taken from six fingers which repeated for six times.

SubjectsDescription:

SpecialNotes:

Status:

Active

Access Requirements:

Related Publication:

Back to List

Linked Taxonomies