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Peoples nowadays prefer to use digital gadgets like cameras or mobile phonesfor capturing documents. Automatic extraction of panels/characters from theimages of a comic document is challenging due to the wide variety of drawingstyles adopted by writers, beneficial for readers to read them on mobiledevices at any time and useful for automatic digitization. Most of the methodsfor localization of panel/character rely on the connected component analysis orpage background mask and are applicable only for a limited comic dataset. Thiswork proposes a panel/character localization architecture based on the featuresof YOLO and CNN for extraction of both panels and characters from comic bookimages. The method achieved remarkable results on Bengali Comic Book Imagedataset (BCBId) consisting of total $4130$ images, developed by us as well ason a variety of publicly available comic datasets in other languages, i.e.eBDtheque, Manga 109 and DCM dataset.

CNN based Extraction of Panels/Characters from Bengali Comic Book Page Images