|
Web
Education
Viewing 1-8 of 8 total results
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
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.
(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 ...
Segmentation of off-line cursive handwriting using linear ...
Abstract Segmentation of cursive words into letters has been one of the major problems in handwriting recognition. We introduce a new segmentation algorithm, guided in part by the global characteristics of the handwriting. We find the successive segmentation points by evaluating a cost function at each point along the baseline. The cost of segmenting at a point is a weighted sum of four ......
On-line handwritten word recognition : An approach based ...
Recognising lines of unconstrained handwritten text is a challenging task. The difficulty of segmenting cursive or overlapping characters, combined with the need to exploit surrounding context, has led to low recognition rates for even the best current recognisers.
 RECENT ACHIEVEMENTS IN OFF-LINE HANDWRITING RECOGNITION ...
segmentation system used for separating cursive and joined handwriting. Section 4.2, explains the use of a Neural Network based dictionary for the recognition of words. 4.1 Segmentation Technique The segmentation technique contained two components. Firstly a simple heuristic segmentation algorithm29 was implemented which scanned...
Turkish handwritten text recognition: a case of ...
approach with a 17,000 word-lexicon (with test words added) achieves 56% top-10 word recognition rate. Keywords: handwriting recognition, OCR, Turkish, agglutinative 1. INTRODUCTION Off-line handwriting recognition is the task of recognizing the image of a handwritten text, in contrast to on-line...
Off-line Cursive Handwriting Recognition Compared with On ...
Off-line cursive-script recognition using a neural network. In Proceedings of the 6th International Conference on Digital Processing of Signals in Communication, pages 129–134, Loughborough University of Technology, England, 1991. [2] Y. Bengio, Y. Le Cun, and D. Henderson. Globally trained handwritten word recognizer using spatial ......
|
