Restoration of Archival Documents Using a Wavelet Technique
IEEE Transactions on Pattern Analysis and Machine Intelligence
StrCombo: combination of string recognizers
Pattern Recognition Letters - In memory of Professor E.S. Gelsema
Wavelet Applications in Segmentation of Handwriting in Archival Documents
WAA '01 Proceedings of the Second International Conference on Wavelet Analysis and Its Applications
Correcting Document Image Warping Based on Regression of Curved Text Lines
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Directional Wavelet Approach to Remove Document Image Interference
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Restoring Warped Document Images through 3D Shape Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Independent Component Analysis Segmentation Algorithm
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Semantic information integration and question answering based on pervasive agent ontology
Expert Systems with Applications: An International Journal
A comparison of text-classification techniques applied to Arabic text
Journal of the American Society for Information Science and Technology
Restoring Chinese documents images based on text boundary lines
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Feature selection algorithms to improve documents' classification performance
AWIC'03 Proceedings of the 1st international Atlantic web intelligence conference on Advances in web intelligence
Restoration of double-sided ancient music documents with bleed-through
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
An intelligent agent-based system for multilingual financial news digest
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
smartFIX statistics: towards systematic document analysis performance evaluation and optimization
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
An intelligent agent-based system for multilingual financial news digest
International Journal of Intelligent Information and Database Systems
Identification of fraudulent financial statements using linguistic credibility analysis
Decision Support Systems
Methods for written ancient music restoration
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
IODetector: a generic service for indoor outdoor detection
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
| Hi-index | 0.00 |
In document analysis, it is common to prove the usefulness of a component by an experimental evaluation. By applying the respective algorithms to a test sample, effectiveness measures such as recall, precision, and accuracy are computed.The goal of such an evaluation is two-fold: on the one hand it shows that the absolute effectiveness of the algorithm is acceptable for practical use. On the other hand, the evaluation can prove that the algorithm has a better or worse effectiveness than another algorithm.In this paper we argue that the experimental evaluation on relative small test sets - as is very common in document analysis - has to be taken with extreme care from a statistical point of view. In fact, it is surprising how weak statements derived from such evaluations are.