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Analysis of Image Fusion Techniques for fingerprint ...
S. Anu H Nair Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 5, Issue 1( Part 3), January 2015, pp.77-83. RESEARCH ARTICLE
Multispectral Palmprint Recognition: A Survey and ...
The approaches surveyed are discussed by describing, in particular, their feature extraction, feature fusion, matching and decision algorithms. Finally, a comparative study to evaluate their performances for both verification and identification modes is addressed.
CiteSeerX — Citation Query Face recognition: eigenface ...
Face recognition using 3D images is another active area of face recognition, which provides robust face recognition with changes in pose. Recent research has also demonstrated that the fusion of different imaging modalities and spectral components can improve the overall performance of face recognition....
Learning a Restricted Bayesian Network for Object ...
Learning a Restricted Bayesian Network for Object Detection Henry Schneiderman Abstract: many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. Such characteristics make it possible to construct a powerful classifier by only representing the strong direct dependencies ...
Subjective Assessment of Multispectral Fusion Images ...
Image fusion is an intensively used method in applications which require reduction the quantity of information and increase the quality of generated images. This paper present aspects related to subjective quality assessment for images generated by fusion systems used for observation and surveillance. Subjective assessment is based on the expertise of human operators....
A novel approach for multimodal medical image fusion ...
The significant sparse coefficients of CT and MRI images are acquired via multi-scale discrete wavelet transform. A proposed weighted fusion rule is utilized to fuse the high frequency coefficients of the source medical images; while the pulse coupled neural networks (PCNN) fusion rule is exploited to fuse the low frequency coefficients....
 Assessment of Time-lapse in Visible and Thermal Face ...
images. In [8] thermal face recognition over time, has been studied and the effect of time-lapse has been investigated and reported. It has been indicated that the accuracy of face recognition in thermal domain degrades dramatically in comparison with visible images and fusion of both spectrums, could be the best one....
Ayan Seal - Google Scholar Citations
This "Cited by" count includes citations to the following articles in Scholar. The ones marked * may be different from the article in the profile.
3D and Thermo-Face Fusion | IntechOpen
By deploying the best face recognition techniques for both 3D and thermal domains, we showed, through experiments, that fusion increases the overall performace up to 50%. It should be noted that the important components of the processing pipeline image processing and the correct feature selection greatly influence the decision-making (comparison)....
List of Accepted Papers – ICIP 2020
TRIPLET DISTILLATION FOR DEEP FACE RECOGNITION: 1804: Two-step Progressive Intra Prediction for Versatile Video Coding: 1086: TYPE I ATTACK FOR GENERATIVE MODELS: 1772: Ultrasound and magnetic resonance image fusion using a patch-wise polynomial model: 2644: UNCONSTRAINED PERIOCULAR RECOGNITION: USING GENERATIVE DEEP LEARNING FRAMEWORKS FOR ......
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