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A novel segmentation method is developed for segmenting an Iris image into 6 circular segments after it has been cropped from an eye. Each segment is treated as a separate image to find Eigeniris and to recognize the Iris by the segmental Euclidean distance between the features of training and test samples computed from their segments. In addition to the Eigen features, the DCT and fuzzy features...
We investigate to what extent combinations of features can improve classification performance on a large dataset of similar classes. To this end we introduce a 103 class flower dataset. We compute four different features for the flowers, each describing different aspects, namely the local shape/texture, the shape of the boundary, the overall spatial distribution of petals, and the colour. We combine...
Touching characters are major problem of achieving higher recognition rate in optical character recognition (OCR). Present OCR systems do not perform well when adjacent characters touch. If characters are touched in graphical documents (e.g. map) then such touching string recognition is more difficult because in such documents touching characters appear in multi-oriented direction. In this paper,...
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