Optics and Precision Engineering, Volume. 29, Issue 9, 2210(2021)

Dense irregular text detection based on multi-dimensional convolution fusion

Yue-bo MENG1...2, De-wang SHI1, Guang-hui LIU1,*, Sheng-jun XU1,2 and Dan JIN1 |Show fewer author(s)
Author Affiliations
  • 1College of Information and Control Engineering,Xi 'an University of Architecture and Technology, Xi'an70055, China
  • 2Guangzhou Artificial Intelligence and Digital Economy Laboratory, Guangzhou510000, China
  • show less
    References(23)

    [1] [1] 1王建新,王子亚,田萱.基于深度学习的自然场景文本检测与识别综述[J].软件学报,2020,31(05):1465-1496.WANGJ X, WANGZ Y, TIANX. Review of natural scene text detection and recognition based on deep learning [J]. Journal of Software, 2020,31(05):1465-1496. (in Chinese)

    [2] [2] 2白志程,李擎,陈鹏,郭立晴.自然场景文本检测技术研究综述[J].工程科学学报,2020,42(11):1433-1448.BAIZH CH, LIQ, CHENP, et al. Text detection in natural scenes: a literature review [J]. Chinese Journal of Engineering, 2020,42(11):1433-1448. (in Chinese)

    [3] A THILAGAVATHY, A CHILAMBUCHELVAN. Fuzzy based edge enhanced text detection algorithm using MSER. Cluster Computing, 22, 11681-11687(2019).

    [4] S SHASWATA, C NEELOTPAL, K SOUMYADEEP et al. Multi-lingual scene text detection and language identification. Pattern Recognition Letters, 138, 16-22(2020).

    [5] J A GHULAM, H S JAMAL, Y MUSSARAT et al. A novel machine learning approach for scene text extraction. Future Generation Computer Systems, 87, 328-340(2018).

    [6] Z TIAN, W L HUANG et al. Detecting text in natural image with connectionist text proposal network, 56-72(2016).

    [7] B G SHI, X BAI, S BELONGIE. Detecting oriented text in natural images by linking segments, 3482-3490(2017).

    [8] Y L LIU, L W JIN. Deep matching prior network: Toward tighter multi-oriented text detection, 1962-1969(2017).

    [9] Y L LIU, L W JIN, T S ZHANG et al. Curved scene text detection via transverse and longitudinal sequence connection. Pattern Recognition, 90, 337-345(2019).

    [10] P HE, W L HUANG, T HE et al. Single shot text detector with regional attention, 1962-1969(2017).

    [11] J TANG, Z YANG, Y WANG et al. SegLink++: Detecting dense and arbitrary-shaped scene text by instance-aware component grouping. Pattern Recognition, 96, 106954(2019).

    [12] Z ZHANG, C Q ZHANG, W SHEN et al. Multi-oriented text detection with fully convolutional networks, 4159-4167(2016).

    [13] X Y ZHOU, C YAO, H WEN et al. East: An efficient and accurate scene text detector, 5551-5560(2017).

    [14] B G SHI, J Q RUAN, W ZHANG et al. TextSnake: a flexible representation for detecting text of arbitrary shapes, 19-35(2018).

    [15] X LI, W H WANG, B W HOU et al. Shape robust text detection with progressive scale expansion network(2019).

    [16] [16] 16余永维,韩鑫,杜柳青.基于Inception-SSD算法的零件识别[J].光学 精密工程,2020,28(8):1799-1809. doi: 10.1088/1742-6596/1486/3/032024YUY W, HANX, DUL Q. Target part recognition based Inception-SSD algorithm [J]. Opt. Precision Eng, 2020,28(8):1799-1809. (in Chinese). doi: 10.1088/1742-6596/1486/3/032024

    [17] [17] 17范丽丽,赵宏伟,赵浩宇,等.基于深度卷积神经网络的目标检测研究综述[J].光学 精密工程,2020,28(5):1152-1164.FANL L, ZHAOH W, ZHAOH Y, et al. Survey of target detection based on deep convolutional neural networks [J]. Opt. Precision Eng, 2020,28(05):1152-1164. (in Chinese)

    [18] S Q REN, K M HE, R GIRSHICK et al. Faster r-cnn: Towards real-time object detection with region proposal networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).

    [19] K M HE, X Y ZHANG, S Q REN et al. Identity mappings in deep residual networks, 630-645(2016).

    [20] [20] 20杨其利,周炳红,郑伟,等.注意力卷积长短时记忆网络的弱小目标轨迹检测[J].光学 精密工程,2020,28(11):2535-2548. doi: 10.37188/OPE.20202811.2535YANGQ L, ZHOUB H, ZHENGW, et al. Trajectory detection of small targets based on convolutional long short-term memory with attention mechanisms [J]. Opt. Precision Eng, 2020,28(11):2535-2548. (in Chinese). doi: 10.37188/OPE.20202811.2535

    [21] D KARATZAS, L GOMEZ-BIGORDA, A NICOLAOU et al. ICDAR 2015 competition on robust reading. International Conference on Document Analysis & Recognition, 1156-1160(2015).

    [22] J DENG, W DONG, R SOCHER et al. ImageNet: A large-scale hierarchical image database, 248-255(2009).

    [23] A SHRIVASTAVA, A GUPTA, R GIRSHICK. Training region-based object detectors with online hard example mining, 761-769(2016).

    Tools

    Get Citation

    Copy Citation Text

    Yue-bo MENG, De-wang SHI, Guang-hui LIU, Sheng-jun XU, Dan JIN. Dense irregular text detection based on multi-dimensional convolution fusion[J]. Optics and Precision Engineering, 2021, 29(9): 2210

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Information Sciences

    Received: Feb. 24, 2021

    Accepted: --

    Published Online: Nov. 22, 2021

    The Author Email: LIU Guang-hui (guanghui1@163.com)

    DOI:10.37188/OPE.20212909.2210

    Topics