Browsing by Author "Umam, Ardian"
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Item type:Item, A Light Deep Learning Based Method for Bank Serial Number Recognition(2018-01-01) ;Umam, Ardian ;Chuang, Jen-Hui ;Li, Dong-Lin ;資訊工程學系電機工程學系A full stage bank serial number (SN) recognition system is proposed in this paper. We introduce Block-wise Prediction Networks (BPN) to treat the localization of an SN as block-wise binary classification, which can be considered as a coarse version of dense/pixel-wise prediction used in semantic segmentation. The benefits include short execution time, which is equal to 85.22 ms in CPU, and the use of global features instead of local features to improve the segmentation. Our system then separates the localized Region of Interest (Rol) into individual characters, and feeds them into softmax CNN classifier. Experimental results show that the proposed method can achieve 99.92% and 99.24% accuracy for character and SN of Renminbi (RMB), respectively, tested with 2,368 two sides images of 1,184 RMB bills.Item type:Item, AUTOMATIC GENERATION OF EPIPOLAR CURVES(2018-01-01) ;Umam, Ardian ;Hsieh, Yi-Yu ;Marsya, Jiwa Malem ;Chuang, Jen-Hui資訊工程學系Fisheye camera is widely used in various applications because of its wider field-of-view. However, high distortion of images captured by fisheye cameras make it difficult for certain tasks which are based on traditional epipolar geometry (using epipolar lines) and stereo correspondence, such as depth map estimation. While most of existing depth map estimation methods use perspective-projection-based camera model, considering fisheye camera for depth map estimation will be beneficial because of its wider FOV. The availability of epipolar curves will be truly helpful for correspondence matching performed in depth map estimation. We propose a novel way of deriving epipolar curves using an auxiliary screen having benefits include: (i) deterministic results instead of statistical ones with accuracy within 1.5 pixels and (ii) the two epipoles as well as the epipolar curves in fisheye images can be obtained automatically, while unlimited number of the latter can be generated if needed.