Adaptive latent fingerprint image segmentation and matching using Chan-vese technique based on EDTV model
Biometrics such as face, fingerprint, iris, voice and palm prints are the most widely used, and as well the fingerprints are one of the most frequently used biometrics to identify individuals and authenticate their identity. commonly categorized into three different categories which are rolled, plai...
Saved in:
Main Authors: | Hilles, Shadi M.S., Liban, Abdilahi, Mahmoud Altrad, Abdullah, Miaikil, Othman A.M., Baker El-Ebiary, Yousef A., Contreras, Jennifer O., Hilles, Mohanad M. |
---|---|
Format: | text |
Published: |
Animo Repository
2021
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/12718 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Similar Items
-
Latent fingerprint enhancement and segmentation technique based on hybrid edge adaptive DTV model
by: Hilles, Shadi M.S., et al.
Published: (2021) -
Assessment in e-learning environment readiness of teaching staff, administrators, and student of Faculty of Nursing-Benghazi University
by: Contreras, Jennifer O., et al.
Published: (2015) -
Ground Stereo Vision-based Navigation for Autonomous Take-off and Landing of UAVs: A Chan-Vese Model Approach
by: Tang, Dengqing, et al.
Published: (2016) -
Essay question generator based on Bloom’s taxonomy for assessing automated essay scoring system
by: Contreras, Jennifer O., et al.
Published: (2021) -
Luminescence optimisation for latent fingerprint detection
by: Ong, Sock Koon
Published: (2008)