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Accurate knowledge of spectral reflectance is crucial for hyperspectral image analysis. We propose a novel spectral reflectance recovery method by adaptive spatio-spectral support. The proposed technique is evaluated in both simulated and real illumination scenarios. A multi-illuminant hyper-spectral scene database has been collected and made publicly available. Experiments show that the adaptive...
Ink mismatch detection provides important clues to forensic document examiners by identifying whether a particular handwritten note was written with a specific pen, or to show that some part (e.g. signature) of a note is written with a different ink as compared to the rest of the note. In this paper, we show that a hyper spectral image (HSI) of handwritten notes can discriminate between inks that...
Automatic recognition of suspects from forensic sketches is of considerable interest to the law enforcement agencies. However, this task is complex due to the heterogenous nature of face sketches and photographs. To address this challenge, previous approaches generally learn a transformation of a sketch to photo or a photo to sketch at the image or feature level in order to reduce the modality gap...
We propose ‘Contour Code’, a novel representation and binary hash table encoding for multispectral palmprint recognition. We first present a reliable technique for the extraction of a region of interest (ROI) from palm images acquired with non-contact sensors. The Contour Code representation is then derived from the Nonsubsampled Contourlet Transform. A uniscale pyramidal filter is convolved with...
Internet has emerged as a popular medium of communication, not only for common people but also for criminals. Various modes of covert communication are adopted by such elements. Steganography hides the information in digital images without changing their visual perception. These images can then be transferred over internet, without causing any suspicion to an observer. Steganalysis techniques inspect...
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