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An Ensemble of Neural Networks for Non-Linear Segmentation ...
[40] Khan, A.R. and Mohammad, Z. (2008). A Simple Segmentation Approach for Unconstrained Cursive Handwritten Words in Conjunction with the Neural Network. International Journal of Image Processing, vol.2(3) , pp. 29-35 [41] Saba, T. (2018) Fuzzy ARTMAP Approach for Arabic Writer Identification using Novel
 A Novel Connectionist System for Unconstrained Handwriting ...
approach based on a novel type of recurrent neural network, specifically designed for sequence labelling tasks where the data is hard to segment and contains long range, bidirectional interdependencies. In experiments on two large unconstrained handwriting databases, our approach achieves word recognition...
RNN based online handwritten word recognition in ...
This article proposes a novel approach for online handwritten cursive and non-cursive word recognition in two of the most popular Indian scripts—Devanagari and Bengali, based on two recently developed versions of Recurrent Neural Network (RNN), named as Long–Short Term Memory (LSTM) and Bidirectional Long–Short Term Memory (BLSTM). The proposed approach divides each word horizontally ......
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