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ARTIFICIAL INTELLIGENCE BASED BIOMETRIC IMAGE FUSION
, , Mousami V Munot, Abhijeet V Chitre
Published in JESPUBLICATION
2020
Volume: 11.0
   
Issue: 6.0
Pages: 1.0 - 5.0
Abstract
This paper investigates the field of image fusion which comes beneath the banner of data fusion. The more detailed information is obtained in Image fusion by integrating information contained in different images. The fusion work can be carried out at three levels: pixel level, feature level and the decision level. In the research presented in this paper, pixel level fusion is proposed by decomposing images into wavelets and combining the associated coefficients using fuzzy logic. Discrete Wavelet transform is been used to reconstruct the final image. Palm print and finger print images are also fused at feature level. Fingerprint features such as minutiae, Euclidean distances and angles between them are computed. Feature level fusion is achieved by enhancing the images using Gabor filters followed by feature extraction
About the journal
JournalJournal of Engineering Sciences
PublisherJESPUBLICATION
Open Access0