Using an artificial neural network approach for off-line sentence segmentation
نویسندگان
چکیده
This paper works with an Artificial Neural Network (ANN) architecture to segment unconstrained English handwriting sentences into single words. The ANN receives a feature set of the handwritten text line and classifies each image’s column belonging to a word or a gap between words. As result, the sequences of columns with the same classification represent the segmented words or inter-word gaps. In our experiments, realized on the IAM Database, the ANN-Based method reached better performance than the traditional Gap Metric approach for handwriting sentence segmentation, in both cases: class dependent and class independent.
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