Keyword-guided word spotting in historical printed documents using synthetic data and user feedback

Authors:
T. Konidaris;B. Gatos;K. Ntzios;I. Pratikakis;S. Theodoridis;S. J. Perantonis
Affiliations:
National Center for Scientific Research “Demokritos”, Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, Athens, Greece;National Center for Scientific Research “Demokritos”, Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, Athens, Greece;Natnl. Ctr. for Sci. Res. “Demokritos”, Computnl. Intell. Lab., Inst. of Inform. and Telecomm., Athens, Greece and Natnl. & Kapodistrian Univ. of Athens, Dept. of Inform. and Telecom ...;National Center for Scientific Research “Demokritos”, Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, Athens, Greece;National & Kapodistrian University of Athens, Department of Informatics and Telecommunications, Athens, Greece;National Center for Scientific Research “Demokritos”, Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, Athens, Greece
Venue:
International Journal on Document Analysis and Recognition
Year:
2007

Citing 0
Cited 22

Pattern Recognition Methods for Querying and Browsing Technical Documentation

CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Text retrieval from early printed books

Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data
A comprehensive evaluation methodology for noisy historical document recognition techniques

Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data
Accessing the content of Greek historical documents

Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data
A binarization algorithm for historical manuscripts

ICCOM'08 Proceedings of the 12th WSEAS international conference on Communications
Efficient Language-Independent Retrieval of Printed Documents without OCR

SPIRE '09 Proceedings of the 16th International Symposium on String Processing and Information Retrieval
Picture extraction from digitized historical manuscripts

Proceedings of the ACM International Conference on Image and Video Retrieval
Segmentation of historical machine-printed documents using Adaptive Run Length Smoothing and skeleton segmentation paths

Image and Vision Computing
Efficient search in document image collections

ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Nearest neighbor based collection OCR

DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Towards more effective distance functions for word image matching

DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Page frame detection for double page document images

DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Automatic unsupervised parameter selection for character segmentation

DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
A Document Image Retrieval System

Engineering Applications of Artificial Intelligence
A line-based representation for matching words in historical manuscripts

Pattern Recognition Letters
Automatic segmentation of digitalized historical manuscripts

Multimedia Tools and Applications
User-assisted alignment of Arabic historical manuscripts

Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
Word spotting in historical printed documents using shape and sequence comparisons

Pattern Recognition
Synthesizing queries for handwritten word image retrieval

Pattern Recognition
Data-driven vehicle identification by image matching

ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Boosting the handwritten word spotting experience by including the user in the loop

Pattern Recognition
Intangible cultural heritage preservation: An exploratory study of digitization of the historical literature of Chinese Kunqu opera librettos

Journal on Computing and Cultural Heritage (JOCCH)

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose a novel technique for word spotting in historical printed documents combining synthetic data and user feedback. Our aim is to search for keywords typed by the user in a large collection of digitized printed historical documents. The proposed method consists of the following stages: (1) creation of synthetic image words; (2) word segmentation using dynamic parameters; (3) efficient feature extraction for each word image and (4) a retrieval procedure that is optimized by user feedback. Experimental results prove the efficiency of the proposed approach.