DL '97 Proceedings of the second ACM international conference on Digital libraries
Extraction of text areas in printed document images
DocEng '01 Proceedings of the 2001 ACM Symposium on Document engineering
Goal-Directed Evaluation of Binarization Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast and Robust Segmentation of Natural Color Scenes
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume I - Volume I
InfoScope: Link from Real World to Digital Information Space
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
CamWorks: A Video-Based Tool for Efficient Capture from Paper Source Documents
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Character Segmentation of Color Images from Digital Camera
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Binarising Camera Images for OCR
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Pattern Recognition, Third Edition
Pattern Recognition, Third Edition
Automatic detection and recognition of signs from natural scenes
IEEE Transactions on Image Processing
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Translating text in real-world images presents several challenges such as text detection, text extraction, recognition, and translation. A multi-lingual translation system must take fundamental differences between the characteristics of different alphabets such as Latin, Cyrillic, Chinese, Korean, and Arabic into account. The system presented in this paper can extract text from real-world images with appropriate heuristics for these alphabets, as well as de-skew, binarize, recognize, and translate them. OCR is utilized to recognize the text, and the translation is employed using Translation Memory and Machine Translation. Experiments were also conducted to determine the most suitable segmentation and binarization algorithms for translation.