Optical recognition of handwritten Chinese characters by hierarchical radical matching method

Wang, An Bang; Fan, Kuo-Chin

doi:10.1016/s0031-3203(99)00207-1

Cited by 68 publications

(40 citation statements)

References 6 publications

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“…Besides, the work of Bai et al [31] can only recognize 500 Simplified Chinese characters, though there are thousands of characters commonly used [36].…”

Section: Image Text Recognition Based On Feature Learningmentioning

confidence: 99%

End-to-end subtitle detection and recognition for videos in East Asian languages via CNN ensemble

Shan

Qiu

et al. 2018

Signal Processing: Image Communication

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In this paper, we propose an innovative end-to-end subtitle detection and recognition system for videos in East Asian languages. Our end-to-end system consists of multiple stages. Subtitles are firstly detected by a novel image operator based on the sequence information of consecutive video frames.Then, an ensemble of Convolutional Neural Networks (CNNs) trained on synthetic data is adopted for detecting and recognizing East Asian characters. Finally, a dynamic programming approach leveraging language models * Corresponding author tively, which is a significant outperformance of other existing methods. The near-perfect accuracy of our system dramatically narrows the gap between human cognitive ability and state-of-the-art algorithms used for such a task.

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“…Besides, the work of Bai et al [31] can only recognize 500 Simplified Chinese characters, though there are thousands of characters commonly used [36].…”

Section: Image Text Recognition Based On Feature Learningmentioning

confidence: 99%

End-to-end subtitle detection and recognition for videos in East Asian languages via CNN ensemble

Shan

Qiu

et al. 2018

Signal Processing: Image Communication

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“…In this case, however, we can draw a list of generic positioning models of radicals within characters. This positioning models are the 9 well-known character patterns presented by figure 2 [5]. The structure of any composed character can be described by recursively applying these positioning models, resulting in a binary tree as the one of character "qi" presented by figure 3.…”

Section: Character Descriptionmentioning

confidence: 99%

Explicit Fuzzy Modeling of Shapes and Positioning for Handwritten Chinese Character Recognition

Delaye

Anquetil

Macé

2009

2009 10th International Conference on Document Analysis and Recognition

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In this paper, we present a new method for on-line Chinese character recognition that relies on an explicit description of characters structure. Contrary to most of known structural approaches, this model can describe characters written in a fluent style, thanks to a flexible fuzzy modeling of shapes and positioning of their structural components (primitives and radicals). We designed a process for incremental training of the models cooperated with automatic structural labeling for minimizing the required manual task in model design. First experiments show that the method is able to recognize non-regularly written characters and has a convincing generalization ability.

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“…Stroke-based approach [15]. Their experiments for radical extraction were conducted on just 1856 test characters.…”

Section: Methodsmentioning

confidence: 99%

“…These methods aim to discover the relationship among the hierarchically represented graphs and capture their variations. Stroke-based methods, such as [15] and [8], decompose a radical further into its primitive structural parts, i.e., straight-line strokes, and then recognize the whole character by structural analysis. The advantage of the latter approach is that it requires far less computation than skeleton-based methods, but it suffers from a problem of ambiguity when strokes intersect.…”

Section: Introductionmentioning

confidence: 99%

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A radical approach to handwritten Chinese character recognition using active handwriting models

Shi

Gunn

Damper

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001

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Optical recognition of handwritten Chinese characters by hierarchical radical matching method

Cited by 68 publications

References 6 publications

End-to-end subtitle detection and recognition for videos in East Asian languages via CNN ensemble

End-to-end subtitle detection and recognition for videos in East Asian languages via CNN ensemble

Explicit Fuzzy Modeling of Shapes and Positioning for Handwritten Chinese Character Recognition

A radical approach to handwritten Chinese character recognition using active handwriting models

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