This paper presents a methodology for off-line handwritten Chinese character recognition based on mergence of consecutive segments of adaptive duration. The handwritten Chinese character string is partitioned into a sequence of consecutive segments, which are combined to implement dissimilarity evaluation within a sliding window whose durations are determined adaptively by the integration of sh...

Challenges in handwritten characters recognition is due to the variation and distortion of handwritten characters, since different people use different style and way of draw the same shape of the characters. This paper demonstrates the nature of handwritten characters, conversion of handwritten data into electronic data, and the neural network approach to make machine capable of recognizing han...

This paper describes effects of a large amount of artificial patterns to train an on-line handwritten Japanese character recognizer. We need a huge amount of pattern samples to train recognizers to achieve high recognition performance for on-line handwritten character recognition. However, the existing pattern samples are not enough. We construct distortion models to generate a large amount of ...

We introduce two data augmentation techniques, which, used with a Resnet-BiLSTM-CTC network, significantly reduce Word Error Rate and Character beyond best-reported results on handwriting text recognition tasks. apply novel that simulates strikethrough (HandWritten Blots) handwritten generation method based printed (StackMix), which proved to be very effective in StackMix uses weakly-supervised...

The handwriting produced by each person is unique, so has a different stroke, even though they write the same letter. Handwritten Javanese an exciting topic to study, in addition scientific purposes and preserving Indonesian culture. character image dataset aksara Jawa: Jawa custom from Kaggle database consists of 2,154 train data 480 evaluation data. This research proposed analyze impact some ...