Title :
A fast wavelet packet and PCA based image indexing and authentication method
Author :
AlZahir, Saif ; Singh, D.
Author_Institution :
Dept. of Comput. Sci., UNBC, Prince George, BC, Canada
Abstract :
The rapid growth in image databases is presenting new research challenges in wide range of areas that span image indexing, image retrieval, authentication, and recognition. This paper presents a new algorithm for image indexing and authentication. Although the combination of wavelet transform and principal components analysis has been used in some image processing areas but they have not been used for image indexing and authentication before. The proposed algorithm is based on the extraction of selected features of images using principal components analysis and wavelet packets. The proposed algorithm addresses three main concerns: (i) search accuracy; (ii) time efficiency; and (iii) storage requirements. We use wavelet packets to decompose the image to its fundamental subbands then we apply PCA method to extract the features of the images. The extracted features are used to create image signatures. We have tested our algorithm on the ORL Database of Faces (the AT&T laboratories Cambridge Database), PIE database, Caltech-UCSD Birds 200 and other miscellaneous images from different sources. We compared our results with two other methods [2] and [13] and found that our method retrieved the query image with 100% efficiency which significantly higher than that of method [13] and it is much faster than both methods.
Keywords :
feature extraction; image recognition; image retrieval; indexing; principal component analysis; storage management; visual databases; wavelet transforms; AT&T laboratories Cambridge Database; Caltech-UCSD Birds 200; ORL face database; PCA based image indexing; PIE database; feature extraction; image authentication method; image databases; image decomposition; image processing areas; image recognition; image retrieval; image signatures; principal components analysis; query image; search accuracy; storage requirements; time efficiency; wavelet packet; wavelet transform; Databases; Feature extraction; Principal component analysis; Wavelet analysis; Wavelet packets;
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on
Conference_Location :
Halifax, NS
Print_ISBN :
978-1-4799-5827-6
DOI :
10.1109/CCECE.2015.7129453