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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 ......
[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 ......
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....
CiteSeerX — Citation Query Segmentation of Handwritten ...
A new intelligent segmentation technique is proposed that may be used in conjunction with a neural classifier and a simple lexicon for the recognition of difficult handwritten words. A heuristic segmentation algorithm is initially used to over-segment each word....
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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