CASIA OpenIR  > 模式识别国家重点实验室  > 模式分析与学习
Handwriting Trajectory Recovery from Off-Line Multi-Stroke Characters by Deep Ordering Prediction and Heuristic Search
Wang TQ(王铁强)1,2; Liu CL(刘成林)1,2,3
2021-07
Conference Name2021 IEEE International Conference on Multimedia and Expo
Conference Date2021-7
Conference Place线上
PublisherIEEE
Abstract

Stroke order recovery from off-line multi-stroke characters is a great challenge due to the ambiguity in intersection and connection among strokes. In this paper, we propose a novel framework for handwriting trajectory recovery from off-line handwritten characters by deep neural network (DNN) based ordering prediction and heuristic search, where several DNN modules are designed to extract stroke skeleton, ambiguous zones and starting points, respectively. Then, the ordering matrix $M_o$ among all the stroke segments is calculated by a pointer network (Ptr-Net). Besides, a convolutional neural network (CNN) is used to measure the time adjacency between two arbitrary segments. Based on these necessary measurements, the final writing order is decided via searching for the optimal permutation by heuristic $A^*$ search. Experiments on handwriting images synthesized from the public online handwriting datasets CASIA-OLHWDB1.1, ICDAR13-Online and UNIPEN show that the proposed method yields superior performance on Chinese and English/Arabic handwriting.

Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/44416
Collection模式识别国家重点实验室_模式分析与学习
Corresponding AuthorLiu CL(刘成林)
Affiliation1.National Laboratory of Pattern Recognition, Institute of Automation of Chinese Academy of Sciences
2.School of Artificial Intelligence, University of Chinese Academy of Sciences
3.CAS Center for Excellence of Brain Science and Intelligence Technology
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Wang TQ,Liu CL. Handwriting Trajectory Recovery from Off-Line Multi-Stroke Characters by Deep Ordering Prediction and Heuristic Search[C]:IEEE,2021.
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