Computer Engineering & Science ›› 2023, Vol. 45 ›› Issue (11): 2008-2017.
• Graphics and Images • Previous Articles Next Articles
LI Zhuo-xuan,ZHOU Ya-tong
Received:
2022-09-02
Revised:
2022-12-14
Accepted:
2023-11-25
Online:
2023-11-25
Published:
2023-11-16
LI Zhuo-xuan, ZHOU Ya-tong. iSFF-DBNet:An improved text detection algorithm in e-commerce images[J]. Computer Engineering & Science, 2023, 45(11): 2008-2017.
[1] | Sun Jing-jing.The influence of electronic commerce on the informatization of national economy[J].The World of Marketing,2020,26(41):44-45.(in Chinese) |
[2] | Yu Jun-jie.Problems in the developmet of livestreaming e-commerce in China and corresponding solutions[J].Trade Fair Economy,2021,5(24):32-34.(in Chinese) |
[3] | Lin H,Yang P,Zhang F.Review of scene text detection and recognition[J].Archives of Computational Methods in Engineering,2020,27(2):433-454. |
[4] | Long S,He X,Yao C.Scene text detection and recognition:The deep learning era[J].International Journal of Computer Vision,2021,129(1):161-184. |
[5] | Dey R,Balabantaray R C,Mohanty S.Sliding window based off-line handwritten text recognition using edit distance[J].Multimedia Tools & Applications,2022,81(16):22761-22788. |
[6] | Wang X,Song Y,Zhang Y.Natural scene text detection with multi-channel connected component segmentation[C]∥Proc of the 12th International Conference on Document Analysis and Recognition,2013:1375-1379. |
[7] | Turki H,Halima M B,Alimi A M.A hybrid method of natural scene text detection using MSERs masks in hsv space co- lor[C]∥Proc of the 9th International Conference on Machine Vision,2017:192-196. |
[8] | Xiao Y,Tian Z,Yu J,et al.A review of object detection based on deep learning[J].Multimedia Tools and Applications,2020,79(33):23729-23791. |
[9] | Huang W,Qiao Y,Tang X.Robust scene text detection with convolution neural network induced MSER trees[C]∥Proc of the 13th European Conference on Computer Vision,2014:497-511. |
[10] | Girshick R.Fast R-CNN[C]∥Proc of 2015 IEEE International Conference on Computer Vision,2015:1440-1448. |
[11] | Wang B,Xu J,Li J,et al.Scene text recognition algorithm based on faster R-CNN[C]∥Proc of the 1st International Conference on Electronics Instrumentation & Information Systems,2017:1-4. |
[12] | Gao X,Han S,Luo C.A detection and verification model based on SSD and encoder-decoder network for scene text detection[J].IEEE Access,2019,7:71299-71310. |
[13] | Tian Z,Huang W,He T,et al.Detecting text in natural image with connectionist text proposal network[C]∥Proc of the 14th European Conference on Computer Vision,2016:56-72. |
[14] | Ma J,Shao W,Ye H,et al.Arbitrary-oriented scene text detection via rotation proposals[J].IEEE Transactions on Multimedia,2018,20(11):3111-3122. |
[15] | Liu X B,Liang D,Yan S,et al.FOTS:Fast oriented text spotting with a unified network[C]∥Proc of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition,2018:5676-5685. |
[16] | Liao M H,Shi B G,Bai X,et al.TextBoxes:A fast text detector with a single deep neural network[J].arXiv:1611.06779,2016. |
[17] | Liao M,Shi B,Bai X.TextBoxes++:A single-shot oriented scene text detector[J].IEEE Transactions on Image Processing,2018,27(8):3676-3690. |
[18] | Lyu P,Yao C,Wu W,et al.Multi-oriented scene text detection via corner localization and region segmentation[C]∥Proc of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition,2018:7553-7563. |
[19] | Liao M H,Wan Z Y,Yao C,et al.Real-time scene text detection with differentiable binarization[C]∥Proc of the 34th AAAI Conference on Artificial Intelligence,2020:11474-11481. |
[20] | Lin T Y,Dollár P,Girshick R,et al.Feature pyramid networks for object detection[C]∥Proc of 2017 IEEE Confe- rence on Computer Vision and Pattern Recognition,2017:2117-2125. |
[21] | Liu Y H.Feature extraction and image recognition with convolutional neural networks[J]. Journal of Physics: Confe- rence Series,2018,1087(6):062032. |
[22] | Yang L, Zhang R Y, Li L, et al. SimAM:A simple, parameter-free attention module for convolutional neural networks[C]∥Proc of International Conference on Machine Learning,2021:11863-11874. |
[23] | Xue Hao. Text detection and recognition based on deep learning[D].Shanghai:Shanghai Jiao Tong University,2019.(in Chinese) |
[24] | Tang Jun.Scene text detection by component grouping[D].Wuhan:Huazhong University of Science and Technology,2019.(in Chinese) |
附中文参考文献: | |
[1] | 孙晶晶.电子商务对国民经济信息化的影响[J].营销界,2020,26(41):44-45. |
[2] | 喻君洁.我国直播电商发展存在的问题及解决策略[J].商展经济,2021,5(24):32-34. |
[23] | 薛昊.基于深度学习的文本检测与识别[D].上海:上海交通大学,2019. |
[24] | 汤俊.基于单元组合的场景图片文字检测[D].武汉:华中科技大学,2019. |
[1] | DONG Zi-ping, CHEN Shi-guo, LIAO Guo-qing. A dense multi-face detection algorithm based on YOLOv5s [J]. Computer Engineering & Science, 2023, 45(10): 1838-1846. |
[2] | ZENG Fan-feng, WANG Chun-zhen, LI Chen. An unsupervised video summarization algorithm based on deep and shallow feature fusion [J]. Computer Engineering & Science, 2023, 45(09): 1602-1610. |
[3] | CUI Ke-bin, CUI Ye-wei. A circuit breaker moving contact tracking methods based on convolution and Transformer [J]. Computer Engineering & Science, 2023, 45(07): 1236-1244. |
[4] | LI Xiao-lin, WANG Fu-gang, ZHANG Peng-fei, ZHANG Lin-yu, . YOLOv5s algorithm optimization based on multi-scale feature extraction [J]. Computer Engineering & Science, 2023, 45(06): 1054-1062. |
[5] | PU Zi-jun, ZHANG Shou-ming. A sound event localization and detection algorithm based on feature fusion and Transformer model [J]. Computer Engineering & Science, 2023, 45(06): 1097-1105. |
[6] | DENG Shan-shan, HUANG Hui, MA Yan. A small object detection algorithm based on improved Faster R-CNN [J]. Computer Engineering & Science, 2023, 45(05): 869-877. |
[7] | SUN Qi, ZHAI Rui, ZUO Fang, ZHANG Yu-tao, . Facial image inpainting based on partial convolution and multi-scale feature integration [J]. Computer Engineering & Science, 2023, 45(02): 304-312. |
[8] | ZHANG Hai-yan, FU Ying-na, DING Gui-jiang, MENG Qing-yan. Towards Anchor-free object detection with diverse receptive fields attention feature refinement network [J]. Computer Engineering & Science, 2022, 44(11): 1995-2002. |
[9] | WU Cong-zhong, DONG Hao, FANG Jing. An adaptive filtering remote sensing image segmentation network based on attention mechanism [J]. Computer Engineering & Science, 2022, 44(11): 2010-2018. |
[10] | CHEN Qing-jiang, LI Jin-yang, QU Mei, HU Qian-nan. A low-light image enhancement method based on an end-to-end dual network [J]. Computer Engineering & Science, 2022, 44(11): 2019-2026. |
[11] | LI Lan, LIU Jie, ZHANG Jie. A complex pedestrian detection model based on improved YOLOv4 algorithm [J]. Computer Engineering & Science, 2022, 44(08): 1449-1456. |
[12] | LIU Li-man, TAN Long-yu, PENG Yuan, LIU Jia. Semantic segmentation of 3D point cloud based on all fusion network [J]. Computer Engineering & Science, 2022, 44(05): 862-869. |
[13] | LI Li-rong, WANG Zi-yan, ZHANG Kai, YANG Di-chun, XIONG Wei, GONG Peng-cheng, . A train bottom parts detection algorithm based on OSE-dResnet neural networks [J]. Computer Engineering & Science, 2022, 44(04): 692-698. |
[14] | CHEN Ai-lian, DING Zheng-long, ZHAN Shu. Prostate MR image segmentation based on adversarial learning and multi-scale feature fusion [J]. Computer Engineering & Science, 2021, 43(04): 697-703. |
[15] | . A plant leaf classification method based on multi feature fusion and extreme learning machine [J]. Computer Engineering & Science, 2021, 43(03): 486-493. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||
湘公网安备 43010502000083号
湘ICP备10006030号
Copyright © Computer Engineering & Science, All Rights Reserved.
Address:109 Deya Rd,Changsha,hunan(410073) Tel: 0731-87002567 Email: jsjgcykx@vip.163.com
Powered by Beijing Magtech Co., Ltd.