臺灣博碩士論文加值系統

目錄
摘要 i
ABSTRACT ii
目錄 iii
圖目錄 v
表目錄 vi
第一章 序論 1
1.1 研究動機 1
1.2 論文架構 2
第二章 相關研究 3
2.1 Optical Character Recognition 3
2.1.1 圖像預處理 4
2.1.2 分類器 5
2.1.3 圖像後處理 6
2.2 Text Detection 7
2.2.1 R-CNN 8
2.2.2 Fast R-CNN 8
2.2.3 Faster R-CNN 9
2.2.4 YOLO 10
2.2.5 YOLOv4 13
2.3 Word Recognition 14
2.3.1 ASTER 14
2.3.2 PP-OCR 15
2.4 相關應用 16
第三章 研究方法 17
3.1 系統架構 17
3.2 系統流程 18
2.3.1 Text Detection 18
2.3.2 Data Preprocessing 19
2.3.3 Word Recognition 21
3.3 實驗流程 25
3.3.1 實驗環境 25
3.3.2 訓練資料集 25
3.3.3 訓練流程 26
第四章 實驗結果 28
4.1 評估方法 28
4.2 實驗結果 28
第五章 結論與未來研究方向 31
參考文獻 32

[1]Baoguang Shi, Xiang Bai and Cong Yao.”An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition”, arXiv:1507.05717v1,2015.
[2]G. Tauschek:Reading machine. U.S. Patent 2026329, 1935.
[3]H. Samet and M. Tamminen. “Efficient Component Labeling of Images of Arbitrary Dimension Represented by Linear Bintrees”. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1988.
[4]M. Donoser and H. Bischof, ‘‘Efficient maximally stable extremal region
(MSER) tracking,’’CVPR, 2006.
[5]Cortes, Corinna,Vapnik,Vladimir. "Support-vector networks".CiteSeerX,1995.
[6]Lawrence R. Rabiner, “A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition”. IEEE,1989.
[7]Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik. "Rich feature hierarchies for accurate object detection and semantic segmentation ", arXiv,2013.
[8]Ross Girshick, . "Fast R-CNN",ICCV,2015.
[9]Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun. "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks", arXiv:1506.01497,2015.
[10]Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi. "You Only Look Once: Unified, Real-Time Object Detection", arXiv:1506.02640,2015.
[11]Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich.” Going Deeper with Convolutions”, arXiv:1409.4842,2014.
[12]Joseph Redmon; Ali Farhadi,” YOLO9000: Better, Faster, Stronger”,CVPR,2017.
[13]Joseph Redmon, Ali Farhadi,” YOLOv3: An Incremental Improvement”, arXiv:1804.02767,2018.
[14]Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun,” Deep Residual Learning for Image Recognition”, arXiv:1512.03385,2015.
[15]Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, Serge Belongie,” Feature Pyramid Networks for Object Detection”, arXiv:1612.03144,2016.
[16]Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao,” YOLOv4: Optimal Speed and Accuracy of Object Detection”, arXiv:2004.10934,2020.
[17]Mingxing Tan, Ruoming Pang, Quoc V. Le,” EfficientDet: Scalable and Efficient Object Detection”, arXiv:1911.09070,2019.
[18]Chien-Yao Wang,Hong-Yuan Mark Liao,Yueh-Hua Wu,Ping-Yang Chen,Jun-Wei Hsieh,I-Hau Yeh,”CSPNet: A New Backbone that can Enhance Learning Capability of CNN”,CVPR,2020.
[19]Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun,” Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition”, arXiv:1406.4729,2014.
[20]Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, Jiaya Jia,” Path Aggregation Network for Instance Segmentation”, arXiv:1803.01534,2018.
[21]Baoguang Shi, Mingkun Yang , Xinggang Wang, Pengyuan Lyu, Cong Yao , Xiang Bai,”ASTER: An Attentional Scene Text Recognizer with Flexible Rectification”,IEEE,2018.
[22]Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu,” Spatial Transformer Networks”, arXiv:1506.02025,2016.
[23]S. Hochreiter and J. Schmidhuber. “Long short-term memory,” Neural Computation, Vol. 9, No.8, pp. 1735-1780, 1997.
[24]Yuning Du, Chenxia Li, Ruoyu Guo, Xiaoting Yin, Weiwei Liu, Jun Zhou, Yifan Bai, Zilin Yu, Yehua Yang, Qingqing Dang, Haoshuang Wang,” PP-OCR: A Practical Ultra Lightweight OCR System”, arXiv:2009.09941,2020.
[25]Minghui Liao, Zhaoyi Wan, Cong Yao, Kai Chen, Xiang Bai,” Real-time Scene Text Detection with Differentiable Binarization”, arXiv:1911.08947,2019.
[26]Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, Quoc V. Le, Hartwig Adam,” Searching for MobileNetV3”, arXiv:1905.02244v5,2019.
[27]Canjie Luo, Yuanzhi Zhu, Lianwen Jin, Yongpan Wang,” Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition”, arXiv:2003.06606,2020.
[28]Karen Simonyan, Andrew Zisserman,” Very Deep Convolutional Networks for Large-Scale Image Recognition”, arXiv:1409.1556,2014.
[29]Alex Graves, Santiago Fern´andez, Faustino Gomez, J¨urgen Schmidhuber,” Connectionist Temporal Classification: Labelling Unsegmented Sequence Data with Recurrent Neural Networks”, ICML,2006.
[30]Ilya Loshchilov, Frank Hutter,”SGDR: Stochastic Gradient Descent with Warm Restarts”, arXiv:1608.03983,2016.ss