Fusion of fingerprint and face by using DWT and SIFT
Shekhar Karanwal, D. Srinivasa Kumar, Rohit Kumar Maurya · International Journal of Computer Applications · 2010
Image fusion is a process to combine information from multiple images of the same scene.The result of image fusion will be a new image which is more suitable for human and machine perception or further tasks of image processing such as image segmentation, feature extraction and object recognition.This paper explains DWT (Discrete Wavelet Transform) or we can say decomposition of two images, after decomposition, fusion of decomposition is carried out which produces a fused image and then SIFT features extracted from the fused image.After extracting SIFT features matching is performed.Experimental Results shows that proposed method produces 95% accuracy. Wavelet decomposition, SIFT, Feature Extraction and Image matching.Our implementation is done in matlab most of the work is carried out in image.This paper describes how image is decomposed by wavelet decomposition, how fusion is performed, how features are extracted from image and how matching is performed. Security and ReliabilityWavelet based image fusion is basically used to provide more security and reliability of image as compared to other techniques of fusion.It decomposes an image into various resolutions which provide approximate and detail coefficients of image, which is then further processed for feature extraction and matching.