Document Image Processing for Scanning and Printing
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资源说明:This book continues first one of the same authors “Adaptive Image Processing Algorithms for Printing” and presents methods and software solutions for copying and scanning various types of documents by conventional office equipment, offering techniques for correction of distortions and enhancement of scanned documents; techniques for automatic cropping and de-skew; approaches for segmentation of text and picture regions; documents classifiers; approach for vectorization of symbols by approximation of their contour by curves; methods for optimal compression of scanned documents, algorithm for stitching parts of large originals; copy-protection methods by microprinting and embedding of hidden information to hardcopy; algorithmic approach for toner saving. In addition, method for integral printing is considered. Described techniques operate in automatic mode thanks to machine learning or ingenious heuristics. Most the techniques presented have a low computational complexity and memory consumption due to they were designed for firmware of embedded systems or software drivers. The book reflects the authors’ practical experience in algorithm development for industrial R&D. 本书继续介绍同一作者“用于打印的自适应图像处理算法”,并介绍了通过传统办公设备复制和扫描各种类型文档的方法和软件解决方案,提供了纠正扭曲和增强扫描文档的技术;自动裁剪和去偏斜技术;分割文本和图片区域的方法;文件分类器;通过曲线近似其轮廓来对符号进行矢量化的方法;用于扫描文件的最佳压缩的方法,用于缝合大型原件的部件的算法;通过微缩印刷和隐藏信息嵌入硬拷贝的复制保护方法;节省墨粉的算法方法。另外,考虑了整体印刷的方法。由于机器学习或巧妙的启发式方法,所描述的技术在自动模式下运行。由于它们是针对嵌入式系统或软件驱动程序的固件而设计的,因此大多数所提出的技术具有低计算复杂度和内存消耗。本书反映了作者在工业研发算法开发方面的实践经验。
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