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A New Approach to Detect and Extract Characters from Off ...
A simple segmentation approach for unconstrained cursive handwritten words in conjunction with the neural network. Int J Image Process 2(3); 2008, 29 35. [9] Saba T, Rehman A, Sulong G. Cursive script segmentation with neural confidence.
Segmentation of Bengali Handwritten Conjunct Characters ...
Khan, A.R., Mohammad, Z.: A simple segmentation approach for unconstrained cursive handwritten words in conjunction with the neural network. Int. J. Image Process. 2(3), 29–35 (2008) MathSciNet Google Scholar
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
Neural networks for document image preprocessing: state of ...
Neural network are most popular in the research community due to its generalization abilities. Additionally, it has been successfully implemented in biometrics, features selection, object tracking,...
Off-line cursive script recognition: current advances ...
Rehman A, Dzulkifli M (2008) A simple segmentation approach for unconstrained cursive handwritten words in conjunction with the neural network. Int J Image Process 2(3): 29–35 Google Scholar
[PDF] Artificial Neural Network Based Segmentation ...
Artificial Neural Networks (ANNs) have been successfully applied to Optical Character Recognition (OCR) yielding excellent results. This paper presents a method for segmentation of difficult handwriting with the use of conventional algorithms in conjunction with ANNs. The segmentation algorithm is heuristic in nature detecting important features which may represent a prospective segmentation ......
Intelligent Knowledge Acquisition and Extraction ...
A Simple Segmentation Approach for Unconstrained Cursive Handwritten Words in Conjunction with the Neural Network. International Journal of Image Processing. Vol. 2, Issue 3, 29-35; 2/ Amjad Rehman and Dzulkifli Mohammad (2008). Off-line Cursive Handwriting Word Recognition: A Survey of Methods and Performances.
Characters Segmentation of Cursive Handwritten Words based ...
Characters Segmentation of Cursive Handwritten Words 3 contours are analyzed to locate prospective segmentation points in cursive handwritten word images. Finally, an ANN trained with correct and incorrect segmentation points then performed to validate correctness of the segmentation points that found by initial module....
(PDF) Implicit Vs Explicit based Script Segmentation and ...
Unconstrained Cursive Handwritten Words in Conjunction with the Neural ... In this approach simple character segmentation is performed by using single vertical scan applied on a segmented line ...
 CURSIVE SCRIPT SEGMENTATION WITH NEURAL CONFIDENCE
tation of unconstrained handwritten words. The proposed approach rst seeks the possible character boundaries based on characters geometric features analysis. However, due to inherited ambiguity and a lack of context, few characters are over-segmented. To increase the ffi of the proposed approach, an Arti cial Neural Network is trained with sig-...
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