Handwritten text recognition has been extensively researched over decades and achieved extraordinary success in recent years. However, handwritten diagram recognition is still a challenging task because of the complex 2D structure and writing style variation. This paper presents a general framework for ...
Furthermore, when the topic of text-based online writer recognition is circumscribed to the use of single words Overview In our approach, strokes are the structural units of the handwriting. A word is regarded as two sequences: one of pen-down strokes and one of pen-up strokes. These ...
Although great success has been achieved in online handwritten Chinese text recognition (OLHCTR), most existing methods based on over-segmentation or long short-term memory are inefficient and not parallelizable. Moreover, n-gram language models and beam search algorithm were commonly adopted by many...
Handwritten text recognition has been extensively researched over decades and achieved extraordinary success in recent years. However, handwritten diagram recognition is still a challenging task because of the complex 2D structure and writing style variation. This paper presents a general framework for onl...
and user experience. We thus opted for a compact system that works real-time, across a wide variety of styles, and with high robustness towards non-standard stroke order. This led to an image-based recognition approach even though we evaluate on online datasets. As in[10], [11], we supp...
Online handwritten Chinese text recognition (OHCTR) is a challenging problem as it involves a large-scale character set, ambiguous segmentation, and variable-length input sequences. In this paper, we exploit the outstanding capability of path signature to translate online pen-tip trajectories into in...
This work presents a formalization of an on-line writing-box free, line-direction free handwritten Japanese text recognition and its effect. By normalizing... Nakagawa,M.,B Zhu,... - International Conference on Pattern Recognition 被引量: 0发表: 2004年 Online handwritten Japanese text recognition...
This paper presents a model and its effect for on-line handwritten Japanese text recognition free from line-direction constraint and writing format constraint such as character writing boxes or ruled lines. The model evaluates the likelihood composed of character segmentation, character recognition, chara...
Finally, a search is performed by dynamic programming for the string that maximizes evaluation score (acceptability as Japanese text). The evaluation score reflects the likelihood of character segmentation, recognition, context and the size of each character. The size is a newly introduced factor ...
The Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) has been demonstrated successful in handwritten text recognition of Western and Arabic scripts. It is totally segmentation free and can be trained directly from text line images. However, the application of LSTM-RNNs (including Multi-...