Licata, Aaron and Psarrou, Alexandra and Kokla, Vassiliki (2009) An ink texture descriptor for nir-imaged medieval documents. In: Proceedings of the 16th IEEE International Conference on Image Processing: ICIP 2009, November 2009, Cairo. IEEE, pp. 1997-2000. ISBN 9781424456536
Official URL: http://dx.doi.org/10.1109/ICIP.2009.5413820
In this work we explore the task of authenticating and dating ancient manuscripts by capturing images of pages in nearinfrared (NIR) and modelling and then comparing the ink appearance of segmented text. We present a texture feature descriptor to characterize and recognize semi-transparent materials such as the inks found in manuscripts. These textural patterns are different in nature from perceptual entities such as textons, tokens, frequency or repeatability of textural elements. Our ink texture descriptor relates a set of ink features from various first and second-order statistics to semi-liquid and viscous image-based properties of inks. In particular, we propose eigen features from the joint gray-level probabilities and off-diagonal sums of co-occurrence matrices. We test the qualities of the features with a classifier trained with the ink descriptor to show how well it recognizes eight different inks of known composition. Presented with the very same task the human visual system would fail to spot the ink composition difference given the inks inter-class and intra-class distances are extremely short.
|Item Type:||Book Section|
|Research Community:||University of Westminster > Electronics and Computer Science, School of|
|Deposited On:||14 Jan 2010 15:51|
|Last Modified:||11 Aug 2010 15:36|
Repository Staff Only: item control page