Object detection using geometric invariant moment
Geometric moment invariant produces a set of feature vectors that are invariant under shifting, scaling and rotation. The technique is widely used to extract the global features for pattern recognition due to its discrimination power and robustness. In this paper, moment invariant is used to identif...
Main Authors: | Saad, Puteh, Rizon, Mohamad, Yazid, Haniza, Md. Shakaff, Ali Yeon, Saad, Abdul Rahman, Sugisaka, Masanori, Yaacob, Sazali, Desa, Hazri, Karthigayan, M. |
---|---|
Format: | Article |
Language: | English |
Published: |
Science Publications
2006
|
Subjects: | |
Online Access: | http://eprints.utm.my/8404/1/8404.pdf |
Similar Items
-
Face recognition using eigenfaces and neural networks
by: Saad, Puteh, et al.
Published: (2006) -
Embedded scale united moment invariant for identification of handwriting individuality
by: Muda, Azah Kamilah, et al.
Published: (2007) -
Trademark image classification approaches using neural network and rough set theory
by: Saad, Puteh
Published: (2003) -
Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue
by: Mahat, Nor Idayu, et al.
Published: (2015) -
A Comparative of Two-Dimensional Statistical Moment Invariants Features in Formulating an Automated Probabilistic Machine Learning Identification Algorithm for Forensic Application
by: Zun Liang, Chuan, et al.
Published: (2023)