A Generic System for Form Dropout
IEEE Transactions on Pattern Analysis and Machine Intelligence
Algorithm for text page up/down orientation determination
Pattern Recognition Letters
Cryptological Mathematics
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multiscale Method for the Reassembly of Two-Dimensional Fragmented Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Skew and Slant Correction for Document Images Using Gradient Direction
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Projection profile based skew estimation algorithm for JBIG compressed images
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
A shape and image merging technique to solve jigsaw puzzles
Pattern Recognition Letters
Form Frame Line Detection with Directional Single-Connected Chain
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Color segmentation for text extraction
International Journal on Document Analysis and Recognition
Underline Detection and Removal in a Document Image Using Multiple Strategies
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Color Text Extraction from Camera-based Images the Impact of the Choice of the Clustering Distance
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Measuring the Information Content of Fracture Lines
International Journal of Computer Vision
A Texture Based Matching Approach for Automated Assembly of Puzzles
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Adaptive degraded document image binarization
Pattern Recognition
Jigsaw Puzzles, Edge Matching, and Polyomino Packing: Connections and Complexity
Graphs and Combinatorics
Skew Detection for Chinese Handwriting by Horizontal Stroke Histogram
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Morphology-based text line extraction
Machine Vision and Applications
Solving jigsaw puzzles using image features
Pattern Recognition Letters
Meta-heuristics for reconstructing cross cut shredded text documents
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Line Segmentation for Degraded Handwritten Historical Documents
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Image segmentation using histogram fitting and spatial information
MDA'06/07 Proceedings of the 2007 international conference on Advances in mass data analysis of signals and images in medicine biotechnology and chemistry
Automatic table detection in document images
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Contour-shape based reconstruction of fragmented, 1600 BC wallpaintings
IEEE Transactions on Signal Processing
Analysis of document snippets as a basis for reconstruction
VAST'09 Proceedings of the 10th International conference on Virtual Reality, Archaeology and Cultural Heritage
| Hi-index | 0.00 |
Document analysis is done to analyze entire forms (e.g. intelligent form analysis, table detection) or to describe the layout/structure of a document. In this paper document analysis is applied to snippets of torn documents to calculate features that can be used for reconstruction. The main intention is to handle snippets of varying size and different contents (e.g. handwritten or printed text). Documents can either be destroyed by the intention to make the printed content unavailable (e.g. business crime) or due to time induced degeneration of ancient documents (e.g. bad storage conditions). Current reconstruction methods for manually torn documents deal with the shape, or e.g. inpainting and texture synthesis techniques. In this paper the potential of document analysis techniques of snippets to support a reconstruction algorithm by considering additional features is shown. This implies a rotational analysis, a color analysis, a line detection, a paper type analysis (checked, lined, blank) and a classification of the text (printed or hand written). Preliminary results show that these features can be determined reliably on a real dataset consisting of 690 snippets.