… bands and select the most representative bands to build the system. This paper presents a
study on feature band selection by analyzing hyperspectral palmprint … spectral bands could …

… improve the recognition accuracy. In this paper, we will establish a hyperspectral palmprint
imaging system and use it to analyze the band selection for multispectral palmprint systems. …

… , we have to select the most representative bands for palmprint recognition. This paper
proposes a band selection scheme for hyperspectral palmprint recognition. First, the images with …

… It was found in [50] that BLPOC can be improved by removing the high frequency components
and using only the inherent frequency band for matching. Here we denote the center area …

… Worst still, a palmprint recognition system may fail when a distortion of the palmprint texture
… verification across the RGB and the NIR spectral bands. • We propose a novel system in …

… These center coordinates are used to extract a circular palmprint region of fixed size from …
bands was 20 pixels wide and overlapped by 25%. The first circular band around the center …

… spectral range light and light at several typical spectral bands. To date, several data-level, …
palmprint recognition [Hao et al. 2007, 2008; Rowe et al. 2007]. (2) 3D palmprint recognition. …

… For each band, 6000 palmprint images were … bands of red, blue, green or NIR, with totally
twelve images collected from one palm in two sessions. For preprocessing, each palmprint …

… palmprint are then extracted from these four spectral bands, each of which is characterized
by its own data (eg, a for certain spectral bands, … multispectral palmprint recognition approach …

… As there might be a large redudancy among the hyper cub data, a feature band selection …
bands for palmprint recognition. Experimental results showed that three spectral bands are …