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(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 ...
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....
 Efficient Segmentation of Arabic Handwritten Characters ...
segmentation and validation of Arabic handwritten words [3]. His method involved three major steps. First, segmentation points are obtained from a modified vertical histogram of a thinned word–image. Then, the initial segmentation point are validated by s using a neural-based segmentation point validation scheme....
Performance analysis of character segmentation approach ...
Conversely, it is unfussy to trace fine segmentation through ligature analysis as in our ap- proach. This research paper analyses the performance of our new algorithm for segmenting cursive handwritten word along with neural assistance to validate segmentation points [12]. The paper is further organized in four sections....
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 ......
AN ARTIFICIAL NEURAL NETWORK BASED SEGMENTATION ALGORITHM ...
segmentation points in printed and joined handwritten words. The algorithm checks for minima in cursive handwriting along with other important features to find segmentation points between characters. An Artificial Neural Network trained with valid segmentation points from a database of scanned, handwritten words is used to assess the correctness...
Cursive Multilingual Characters Recognition Based on Hard ...
character segmentation algorithm and neural validation of the segmentation points. For the fair comparison, patterns are selected from the benchmark database. A few grayscale cursive handwritten samples for character segmentation, training, and testing of the BPN are shown in Figure 1. Fig 1. Samples of multilingual images...
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