H. C. Fernando

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This article presents a database of images of handwritten city names. The aim is to provide a standard database for Sinhala handwriting recognition research. This database contains about 15,000 images of about 500 city names of Sri Lanka. These images are obtained from the addresses of live mail so that the writers had no idea that they would be used for(More)
This paper describes a method to recognize off-line handwritten Sinhala characters, the language used by the majority of Sri Lanka. The classification approach is based on discrete hidden Markov models. A subset of the Sinhala alphabet was chosen for the study. The unknown characters are first pre-classified into one of three character groups, based on the(More)
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