An efficient indexing and retrieval of iris biometrics data using hybrid transform and firefly based K-means algorithm title
The explosive increase in the number of biometric images saved in most databases has made image indexing mandatory. These processes could influence the speed of data access as well as support their retrieval. Hence, researchers are focusing on how to determine suitable image features to be used for...
Saved in:
Main Author: | Khalaf, Emad Taha |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/29262/1/An%20efficient%20indexing%20and%20retrieval%20of%20iris%20biometrics%20data%20using%20hybrid%20transform%20and%20firefly%20based%20K-means%20algorithm%20title.wm.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A framework for biometric recognition using non-ideal iris and face
by: Sim, Hiew Moi
Published: (2014) -
An improved hough transform algorithm in iris recognition system
by: Zadeh, Saeed Khorashadi
Published: (2012) -
Hybrid optimization for k-means clustering learning enhancement
by: Farhang, Yousef
Published: (2016) -
A hybrid method for iris segmentation
by: Mohammed Mukred, Muaadh Shaif
Published: (2010) -
Investigation of firefly algorithm and chaos firefly algorithm for load prequency control /
by: Zaid Najid
Published: (2015)