Pattern Recognition Using K-Nearest Neighbors (KNN) Technique
The aim of this project is to develop a better image processing algorithm using K-Nearest Neighbors (KNN) technique. This project will apply supervised learning, thus require the author to gather training data and testing data consist of written alphabets.
Saved in:
Main Author: | Mohd Farisfaiz Bin Che Lah, Mohd Farisfaiz |
---|---|
Format: | Final Year Project |
Language: | English |
Published: |
2010
|
Subjects: | |
Online Access: | http://utpedia.utp.edu.my/154/1/Mohd_Farisfaiz_Bin_Che_Lah.pdf http://utpedia.utp.edu.my/154/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The classification of meat odor-profile using K-nearest neighbors (KNN)
by: Nur Farina, Hamidon Majid, et al. -
Finger Vein Recognition Based On An Improved K-Nearest Centroid Neighbor Classifier
by: Ng, Yee Wei
Published: (2017) -
License Plate Recognition Using Wavelet Transform and Cluster-k-Nearest Neighbor Classifier
by: Raja Syahira binti Raja Abdul Aziz, Raja Syahira
Published: (2010) -
Classification of frontal alpha asymmetry using k-Nearest Neighbor
by: Mohd. Aris, Siti Armiza, et al.
Published: (2012) -
Automatic Classification of Wood Texture using Local Binary Pattern & Fuzzy K-Nearest Neighbor
by: Mohd Khairuddin, Ismail, et al.
Published: (2014)