Document image processing for scanning and printing

by Safonov, Ilia V.

Type Book

Rate 0.0 /5

Details

Files

Reviews

Download

Title Statements

Full title :Document image processing for scanning and printing / Ilia V. Safonov, Ilya V. Kurilin, Michael N. Rychagov, Ekaterina V. Tolstaya.

Summary

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

Edition Statements

Publication Date:2019

Publication Statements

Publisher(s):Springer
Place of Publication:Cham, Switzerland
Language:eng
Publication Date:2019

The Physical Object

Description:1 online resource

Edition Identifiers

ISBN:9783030053420, 3030053423, 9783030053437, 3030053431
DOI:10.1007/978-3-030-05342-0
oclc:on1091253047
LC Classification:TA1637
Dewey Decimal:006.4/2

Intro; Preface; Acknowledgements; Contents; About the Authors; 1 Distortion-Free Scanning and Copying of Bound Documents; 1.1 Distortion-Free Scanning/Copying of Non-flat Documents; 1.1.1 Introduction; 1.1.2 Distortions at Scanning/Copying; 1.1.3 Splay Profile Estimation by Lateral Cameras; 1.1.4 Correction of the Distortions; 1.1.5 Results; 1.2 Depth Extraction from Single Image Using CNN; References; 2 Document Image Enhancement; 2.1 Restoration of Thick Bound Document Images; 2.1.1 Introduction; 2.1.2 Related Work; 2.1.3 Book Page Segmentation and Skew Recognition

2.1.4 Perspective Distortion Elimination2.1.5 Illumination Equalizing; 2.1.6 Incomplete Placement of the Book on a Scanner Platen; 2.1.7 Results; 2.2 Mobile Image/Document Enhancement; 2.2.1 Geometry Correction Algorithm; 2.2.2 Image Enhancement Algorithm; References; 3 Memory-Efficient Algorithm for Copying Two-Sided Cards; 3.1 Introduction; 3.2 Analysis of Approaches for Orientation Recognition; 3.3 Processing of Card Images; 3.3.1 General Workflow; 3.3.2 Bounding Box Detection; 3.3.3 Skew Angle Estimation; 3.3.4 Segmentation of Digits; 3.3.5 Arabic Digit Recognition

3.3.6 Orientation Detection3.4 Tricks for Memor…

Subjects

Computers -- Computer Graphics digital imaging Document imaging systems Gestion électronique de documents Image processing Image processing -- Digital techniques Imaging systems & technology TECHNOLOGY & ENGINEERING -- Electronics Traitement d'images -- Techniques numér…