DocumentCode
719192
Title
Analysis of shape recognition capability of Krawtchouk moments
Author
Kaur, Bineet ; Joshi, Garima ; Vig, Renu
Author_Institution
UIET, Panjab Univ., Chandigarh, India
fYear
2015
fDate
15-16 May 2015
Firstpage
1085
Lastpage
1090
Abstract
In this paper, Krawtchouk invariant moments are used as features for object recognition. For hand images, the performance of Krawtchouk moments in terms of recognition accuracy, rotational invariance, scale invariance, computational time and feature vector size, has been analysed. A user independent dataset for 21 subjects under varying illumination conditions is created. A comparative analysis with Zernike moments is also done. Results confirm that Krawtchouk moments have a better shape recognition capability even for a very small feature set.
Keywords
object recognition; shape recognition; Krawtchouk invariant moments; Zernike moments; computational time; feature vector size; hand images; object recognition; recognition accuracy; rotational invariance; scale invariance; shape recognition capability; user independent dataset; Accuracy; Automation; Databases; Feature extraction; Image recognition; Polynomials; Shape; Krawtchouk Moments; Multi-layer Perceptron; Zernike Moments;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Communication & Automation (ICCCA), 2015 International Conference on
Conference_Location
Noida
Print_ISBN
978-1-4799-8889-1
Type
conf
DOI
10.1109/CCAA.2015.7148567
Filename
7148567
Link To Document