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State of art document segmentation algorithms employ ad hoc solutions which use some document properties and iteratively segment the document image. These solutions need to be adapted frequently and sometimes fail to perform well for complex scripts. This calls for a generalized solution that achieves a one shot segmentation that is globally optimal. This(More)
In this paper we have defined a novel activation function called the multi-level signum for the real and complex valued associative memories. The major motivation of such a function is to increase the number of patterns that can be stored in a memory without increasing the number of neurons. The state of such a network can be described as one of the points(More)
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