A Robust Algorithm for Text String Separation from Mixed Text/Graphics Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Text - Image Separation in Devanagari Documents
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
An Accessible Viewer for Digital Comic Books
ICCHP '08 Proceedings of the 11th international conference on Computers Helping People with Special Needs
Layout analysis of tree-structured scene frames in comic images
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Frame segmentation used MLP-based X-Y recursive for mobile cartoon content
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Method for Automatic E-Comic Scene Frame Extraction for Reading Comic on Mobile Devices
ITNG '10 Proceedings of the 2010 Seventh International Conference on Information Technology: New Generations
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Comic books constitute an important heritage in many countries. Nowadays, digitization allows to search directly from content instead of metadata only (e.g. album title or author name). Few studies have been done in this direction. Only frame and speech balloon extraction have been experimented in the case of simple page structure. In fact, the page structure depends on the author which is why many different structures and drawings exist. Despite the differences, drawings have a common characteristic because of design process: they are all surrounded by a black line. In this paper, we propose to rely on this particularity of comic books to automatically extract frame and text using a connected-component labeling analysis. The approach is compared with some existing methods found in the literature and results are presented.