A Final Year Project by TARUMT FOCS students.
You are invited to voluntarily take part in this research study. Please read the information below before participating.
This study collects mobile-captured fingerprint images to support research on fingerprint quality assessment, enhancement, image processing and deep learning techniques for our Final Year Project.
You will photograph your own fingertips using your phone's camera and upload them through this form. The whole process takes about 5-10 minutes.
There are no physical risks involved. You will only be providing several fingerprint images - there are no harmful procedures, and you may skip any step or withdraw at any time.
Your participation is completely voluntary. You may withdraw at any time with no penalty, and you may request the deletion of your data.
Researchers:
Tan Zi Yang (tanziyang-wm23@student.tarc.edu.my)
Supervisor:
Assoc. Prof. Dr Goh Ching Pang
Department of Computer Science and Data Science
Faculty of Computing and Information Technology (FOCS)
Tunku Abdul Rahman University of Management and Technology (TARUMT)
Go through all 10 fingers in order, and take 3 angles for each. Left hand first (thumb→pinky), then right hand (thumb→pinky).
Fill the frame — keep the whole fingertip inside the grid, at each angle:
Use your phone's rear (native) camera. The sharper the fingerprint, the better.
Tapping a slot opens your camera to shoot that exact finger & angle, then saves it right there — so photos never get mixed up.
Your samples were submitted successfully.
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