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- W2536876051 abstract "A scientific recognition of Urdu handwriting using computer-generated features of online sample handwriting is presented in this paper. Handwriting samples are taken through digitalized tablet, and digitized for processing on a computer. Measures (features) are extracted on the handwriting samples at the space and time level. We utilize newly developed spatio-temporal artificial neuron (STAN) to classify spatio-temporal patterns (STPs) present in handwriting. This neuron is embedded in ordinary artificial neural network (ANN) to build spatio-temporal neural network (STNN)" @default.
- W2536876051 created "2016-10-28" @default.
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- W2536876051 date "2005-12-01" @default.
- W2536876051 modified "2023-09-27" @default.
- W2536876051 title "Online Urdu Ligature Recognition using Spatial Temporal Neural Processing" @default.
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- W2536876051 doi "https://doi.org/10.1109/inmic.2005.334485" @default.
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