Stroke Detector and Structure Based Models for Character Recognition: A Comparative Study
Shi, Cun-Zhao; Gao, Song; Liu, Meng-Tao; Qi, Cheng-Zuo; Wang, Chun-Heng; Xiao, Bai-Hua; Shi Cunzhao
2015-12-01
发表期刊IEEE TRANSACTIONS ON IMAGE PROCESSING
卷号24期号:12页码:4952-4964
文章类型Article
摘要Characters, which are man-made symbols composed of strokes arranged in a certain structure, could provide semantic information and play an indispensable role in our daily life. In this paper, we try to make use of the intrinsic characteristics of characters and explore the stroke and structure-based methods for character recognition. First, we introduce two existing part-based models to recognize characters by detecting the elastic strokelike parts. In order to utilize strokes of various scales, we propose to learn the discriminative multi-scale stroke detector-based representation (DMSDR) for characters. However, the part-based models and DMSDR need to manually label the parts or key points for training. In order to learn the discriminative stroke detectors automatically, we further propose the discriminative spatiality embedded dictionary learning-based representation (DSEDR) for character recognition. We make a comparative study of the performance of the tree-structured model (TSM), mixtures-of-parts TSM, DMSDR, and DSEDR for character recognition on three challenging scene character recognition (SCR) data sets as well as two handwritten digits recognition data sets. A series of experiments is done on these data sets with various experimental setup. The experimental results demonstrate the suitability of stroke detector-based models for recognizing characters with deformations and distortions, especially in the case of limited training samples.
关键词Character Recognition Stroke Detector Structure Part-based Model Tree-structure Spatiality Embedded Codeword
WOS标题词Science & Technology ; Technology
DOI10.1109/TIP.2015.2473105
关键词[WOS]OBJECT RECOGNITION ; SCENE IMAGES ; ORIENTED GRADIENTS ; TEXT ; COOCCURRENCE ; SEGMENTATION ; EXTRACTION ; HISTOGRAM
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000362008200010
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/10026
专题复杂系统管理与控制国家重点实验室_影像分析与机器视觉
通讯作者Shi Cunzhao
作者单位Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Shi, Cun-Zhao,Gao, Song,Liu, Meng-Tao,et al. Stroke Detector and Structure Based Models for Character Recognition: A Comparative Study[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2015,24(12):4952-4964.
APA Shi, Cun-Zhao.,Gao, Song.,Liu, Meng-Tao.,Qi, Cheng-Zuo.,Wang, Chun-Heng.,...&Shi Cunzhao.(2015).Stroke Detector and Structure Based Models for Character Recognition: A Comparative Study.IEEE TRANSACTIONS ON IMAGE PROCESSING,24(12),4952-4964.
MLA Shi, Cun-Zhao,et al."Stroke Detector and Structure Based Models for Character Recognition: A Comparative Study".IEEE TRANSACTIONS ON IMAGE PROCESSING 24.12(2015):4952-4964.
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