Writer Adaptation with Style Transfer Mapping

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	Writer Adaptation with Style Transfer Mapping
	Zhang, Xu-Yao; Liu, Cheng-Lin
刊名	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
	2013-07-01
卷号	35 期号:7 页码:1773-1787
关键词	Writer adaptation style transfer mapping handwriting recognition
英文摘要	Adapting a writer-independent classifier toward the unique handwriting style of a particular writer has the potential to significantly increase accuracy for personalized handwriting recognition. This paper proposes a novel framework of style transfer mapping (STM) for writer adaptation. The STM is a writer-specific class-independent feature transformation which has a closed-form solution. After style transfer mapping, the data of different writers are projected onto a style-free space, where the writer-independent classifier needs no change to classify the transformed data and can achieve significantly higher accuracy. The framework of STM can be combined with different types of classifiers for supervised, unsupervised, and semi-supervised adaptation, where writer-specific data can be either labeled or unlabeled and need not cover all classes. In this paper, we combine STM with the state-of-the-art classifiers for large-category Chinese handwriting recognition: learning vector quantization (LVQ) and modified quadratic discriminant function (MQDF). Experiments on the online Chinese handwriting database CASIA-OLHWDB demonstrate that STM-based adaptation is very efficient and effective in improving classification accuracy. Semi-supervised adaptation achieves the best performance, while unsupervised adaptation is even better than supervised adaptation. On handwritten text data, semi-supervised adaptation achieves error reduction rates 31.95 and 25.00 percent by LVQ and MQDF, respectively.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]	Computer Science ; Engineering
关键词[WOS]	HANDWRITTEN CHARACTER-RECOGNITION ; CLASSIFICATION ; CLASSIFIERS ; MODELS
收录类别	SCI
语种	英语
WOS记录号	WOS:000319060600018
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3072]
专题	自动化研究所_模式识别国家重点实验室_模式分析与学习团队
作者单位	Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Xu-Yao,Liu, Cheng-Lin. Writer Adaptation with Style Transfer Mapping[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2013,35(7):1773-1787.
APA	Zhang, Xu-Yao,&Liu, Cheng-Lin.(2013).Writer Adaptation with Style Transfer Mapping.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,35(7),1773-1787.
MLA	Zhang, Xu-Yao,et al."Writer Adaptation with Style Transfer Mapping".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 35.7(2013):1773-1787.