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 A Simple Segmentation Approach for Unconstrained Cursive ...
A Simple Segmentation Approach for Unconstrained Cursive Handwritten Words in Conjunction with the Neural Network. Amjad Rehman Khan amjadbzu2003@yahoo.com PhD researcher Department of Computer Graphics and Multimedia University Technology Malaysia Skudai, 81310, Malaysia Dr. Zulkifli Mohammad dzullkilfli@utm.my
A simple Segmentation Approach for Unconstrained Cursive ...
A simple Segmentation Approach for Unconstrained Cursive Handwritten Words in Conjunction With Neural Network Article (PDF Available) · January 2008 with 186 Reads How we measure 'reads'...
A Simple Segmentation Approach for Unconstrained Cursive ...
A Simple Segmentation Approach for Unconstrained Cursive Handwritten Words in Conjunction with the Neural Network. Article · September 2008 with 103 Reads How we measure 'reads'
A Simple Segmentation Approach for Unconstrained Cursive ...
A Simple Segmentation Approach for Unconstrained Cursive Handwritten Words in Conjunction with the Neural Network
A Simple Segmentation Approach for Unconstrained Cursive ...
Abstract. This paper presents a new, simple and fast approach for character segmentationof unconstrained handwritten words. The developed segmentation algorithmover-segments in some cases due to the inherent nature of the cursive words.However the over segmentation is minimum....
A simple segmentation approach for unconstrained cursive ...
A simple segmentation approach for unconstrained cursive ...
CORE
This paper presents a new, simple and fast approach for character segmentation of unconstrained handwritten words. The developed segmentation algorithm over-segments in some cases due to the inherent nature of the cursive words. However the over segmentation is minimum. To increase the efficiency of the algorithm an Artificial Neural Network is ......
CiteSeerX — Amjad Rehman Khan & Dzulkilfli Muhammad A ...
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This paper presents a new, simple and fast approach for character segmentation of unconstrained handwritten words. The developed segmentation algorithm over-segments in some cases due to the inherent nature of the cursive words. However the over segmentation is minimum....
(PDF) Cursive script segmentation with neural confidence
To increase the efficiency of the proposed approach, an Artificial Neural Network is trained with sig-nificant number of valid segmentation points for cursive handwritten words. Trained neural ...
CURSIVE SCRIPT SEGMENTATION WITH NEURAL CONFIDENCE
neural network for the character segmentation of unconstrained handwritten words. The proposed approach performs character segmentation accurately at high speed; however,
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