一种图像中的文字区域检测新方法

doi:10.3969/j.issn.1001-2400.2013.06.031

Abstract

Abstract:

Text regions in images are hard to detect because of the complex background. Using the texture directions of the text region, we propose a new technique for text region location in images based on the Gabor character and neural networks classifier. First, the direction textures of original images are described by Gabor features with several directions and scales. Then the BP neural networks classifier is trained based on the Gabor features of text regions and the non-text regions, which can be used to detect the text regions. Experimental results illustrate that our algorithm greatly improves the accuracy and robustness than the others. And the proposed algorithm is suitable for locating not only the Chinese text but also the text in English and other languages.

Key words: text location, Gabor feature, neural networks

CLC Number:

TP391.41

LI Ying;TIAN Chunna;YAN Jianqiang;ZHUANG Huaiyu;LI Xiangwei. New technique for text region location in images[J].J4, 2013, 40(6): 187-192.

References

［1］ Yu Zhong, Karu K, Jain A K. Locating Text in Complex Color Images［J］. Pattern Recognition, 1995, 28(10): 1523-1535.
［2］ Jeong K Y, Jung K, Kim E Y, et al. Neural Network-based Text Location for News Video Indexing［C］//Proceedings of IEEE International Conference on Image Processing. Los Alamitas: IEEE Conference Publications, 1999: 319-323.
［3］ Li Xueyan, Guo Shuxu, Gao Fengli. Text Extraction in Video Based on Wavelet Modulus Maximum［J］. Computer Engineering, 2007, 33(5): 26-28.
［4］ Wong E K, Chen M. A New Robust Algorithm for Video Text Extraction［J］. Pattern Recognition, 2003, 36(6): 1397-1406.
［5］ Hua Xiansheng, Chen Xiangrong, Liu Wenyin, et al. Automatic Location of Text in Video Frames［C］//Proceedings of the ACM International Multimedia Conference and Exhibition. New York: Association for Computer Machinery, 2001: 24-27.
［6］ Yu Zhong, Zhang Hongjiang, Jain A K. Automatic Caption Localization in Compressed Video［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(4): 385-392.
［7］ Lienhart R, Wernicke A. Localizing and Segmenting Text in Images and Videos［J］. IEEE Transactions on Circuits and Systems for Video Technology, 2002, 12(4): 256-268.
［8］ Wu V, Manmatha R, Riseman E M. An Automatic System to Detect and Recognize Text in Images［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999, 20(11): 1224-1229.
［9］黄剑华, 承恒达, 吴锐, 等. 基于模糊同质性映射的文字检测方法［J］. 电子与信息学报, 2008, 30(6): 1376-1380.
Huang Jianhua, Cheng Hengda, Wu Rui, et al. A New Approach for Text Detection Using Fuzzy Homogeneity［J］. Journal of Electronics ＆ Information Technology, 2008, 30(6): 1376-1380.
［10］ Yan Jianqiang, Tao Dacheng, Tian Cunna, et al. Chinese Text Detection and Location for Images in Multimedia Messaging Service［C］//Proceedings of IEEE International Conference on Systems, Man and Cybernetics. New York: IEEE, 2010: 3896-3901.
［11］胡守仁, 余少波, 戴葵. 神经网络导论［M］. 长沙: 国防科技大学出版社, 1993: 21-33.
［12］ Wonjun K, Changick K. A New Approach for Overlay Text Detection and Extraction from Complex Video Scene［J］. IEEE Transactions on Image Processing, 2009, 18(2): 401-411.
［13］ Pratheeba T, Kavitha V, Rajeswari S R. Morphology Based Text Detection and Extraction from Complex Video Scene［J］. International Journal of Engineering and Technology, 2010, 2(3): 200-206.
［14］ Lucas S M, Panaretos A, Sosa L, et al. ICDAR 2003 Robust Reading Competitions［C］//Proceedings of 7th International Conference on Document Analysis and Recognition. Piscataway: IEEE, 2003: 682-687.

[1]	LV Wenkai,YANG Pengfei,DING Yunqing,ZHANG Heyu,ZHENG Tianyang. JEDERL:A task scheduling optimization algorithm for heterogeneous computing platforms [J]. Journal of Xidian University, 2021, 48(6): 67-74.
[2]	ZHANG Yuhao,CHENG Peitao,ZHANG Shuhao,WANG Xiumei. Lightweight image super-resolution with the adaptive weight learning network [J]. Journal of Xidian University, 2021, 48(5): 15-22.
[3]	SONG Jianqiao,WANG Feng,NIU Jin,SHI Zezhou,MA Junhui. Potential emotion recognition based on the fusion of the spatio-temporal neural network and facial pulse signals [J]. Journal of Xidian University, 2021, 48(4): 159-167.
[4]	HUI Haisheng,ZHANG Xueying,WU Zelin,LI Fenglian. Method for stroke lesion segmentation using the primary-auxiliary path attention compensation network [J]. Journal of Xidian University, 2021, 48(4): 200-208.
[5]	CAO Yi,CAI Xiaodong. Effective learning strategy for hard samples [J]. Journal of Xidian University, 2021, 48(3): 99-105.
[6]	WANG Ping,JIANG Yuze,ZHAO Guanghui. Object detection based on the multiscale location Enhancement network [J]. Journal of Xidian University, 2021, 48(3): 85-90.
[7]	GUO Zekun,TIAN Long,HAN Ning,WANG Penghui,LIU Hongwei,CHEN Bo. Radar HRRP based few-shot target recognition with CNN-SSD [J]. Journal of Xidian University, 2021, 48(2): 7-14.
[8]	ZHANG Shudong,GAO Haichang,CAO Xiwen,KANG Shuai. Adaptive fast and targeted adversarial attack for speech recognition [J]. Journal of Xidian University, 2021, 48(1): 168-175.
[9]	DANG Jisheng,YANG Jun. 3D model recognition and segmentation based on multi-feature fusion [J]. Journal of Xidian University, 2020, 47(4): 149-157.
[10]	LI Kunlun,ZHANG Lu,XU Hongke,SONG Huansheng. Waveletdomain dilated network for fast low-dose CT image reconstruction [J]. Journal of Xidian University, 2020, 47(4): 86-93.
[11]	NGUYEN Van-Truong,CAI Jueping,WEI Linyu,CHU Jie. Low complexity probability-based piecewise linear approximation of the sigmoid function [J]. Journal of Xidian University, 2020, 47(3): 58-65.
[12]	WANG Jijun,HAO Ziyu,LI Hongliang. Optimization of memory access for the convolutional neural network training [J]. Journal of Xidian University, 2020, 47(2): 98-107.
[13]	LIU Lei,JIA Renxu. Analysis of sensitivity uncertainty of the MEMS microphone based on Latin hypercube Monte Carlo simulation [J]. Journal of Xidian University, 2019, 46(6): 23-29.
[14]	CAO Weidong,LI Jiaqi,WANG Huaichao. Analysis of targeted sentiment by the attention gated convolutional network model [J]. Journal of Xidian University, 2019, 46(6): 30-36.
[15]	ZHU Suya,DU Jianchao,LI Yunsong,WANG Xiaopeng. Method for bridge crack detection based on the U-Net convolutional networks [J]. Journal of Xidian University, 2019, 46(4): 35-42.

New technique for text region location in images

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 0