The indexing and retrieval of document images: a survey
Computer Vision and Image Understanding - Special issue on document image understanding and retrieval
Digital Image Compression: Algorithms and Standards
Digital Image Compression: Algorithms and Standards
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Keyword Spotting in Poorly Printed Documents using Pseudo 2-D Hidden Markov Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shift-And Approach to Pattern Matching in LZW Compressed Text
CPM '99 Proceedings of the 10th Annual Symposium on Combinatorial Pattern Matching
Searching in Compressed Dictionaries
DCC '02 Proceedings of the Data Compression Conference
An Approach to Word Image Matching Based on Weighted Hausforff Distance
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
A survey of keyword spotting techniques for printed document images
Artificial Intelligence Review
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In this paper, we present a compressed patternmatching method for searching user queried words in theCCITT Group 4 compressed document images, withoutdecompressing. The feature pixels composed of blackchanging elements and white changing elements areextracted directly from the CCITT Group 4 compresseddocument images. The connected components are labeledbased on a line-by-line strategy according to the relativepositions between the changing elements of the currentcoding line and the changing elements of the referenceline. Word boxes are bounded by merging the connectedcomponents. A two-stage matching strategy is constructedto measure the dissimilarity between the template imageof the user's query word and the words extracted fromdocument images. Experimental results confirmed thevalidity of the proposed approach.