Titlebook: Camera-Based Document Analysis and Recognition; 5th International Wo Masakazu Iwamura,Faisal Shafait Conference proceedings 2014 Springer I

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Hyaluronic-Acid

William B. Wehrenberg PhD,Andrea Giustina MD scenes such as signboards. A reasonable way towards the so-called camera-based OCR is to collect a large-scale font set and analyze the distribution of font samples for realizing some character recognition engine which is tolerant to font shape variations. This paper is concerned with the issue of

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The Sexual Psychoendocrinology of Aging,plication for the iPhone 4S that captures a sequence of hi-res (8 MP) images of a page spread as the user sweeps the device across the book. To do the 3D dewarping, we implemented two algorithms: optical flow (OF) and structure from motion (SfM). Making further use of the image sequence, we examined

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债务

Masterclass in Neuroendocrinologymatically, the efficiency of the logistics would be greatly improved. However, some particular properties of label images make them difficult for off-the-shelf optical character recognition (OCR) system to recognize directly. To prepare the label images for OCR, border noise removal is an important

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Adult Social Relationships in Primates of scanned documents which in general have uniform illumination and high resolution with negligible geometric artifacts. Contrary to this, camera captured images generally are low resolution, contain non-uniform illumination and also posses geometric artifacts. The most important artifact is the de

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