The indexing and retrieval of document images: a survey
Computer Vision and Image Understanding - Special issue on document image understanding and retrieval
Using Character Shape Coding for Information Retrieval
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Progress in Camera-Based Document Image Analysis
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Scalable indexing for layout based document retrieval and ranking
Proceedings of the 2010 ACM Symposium on Applied Computing
Document seal detection using GHT and character proximity graphs
Pattern Recognition
CBDAR'11 Proceedings of the 4th international conference on Camera-Based Document Analysis and Recognition
Document page retrieval based on geometric layout features
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
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We propose a method of document image retrieval using digital cameras. The proposed method takes as input a part or the whole of a document acquired as a query by a digital camera, and retrieves a document image that includes the query. For this purpose, it is required to solve the problem of "perspective distortion" of images, as well as to establish a way of matching parts of document images flexibly. These are achieved based on the following characteristics of the proposed method: (1) Indexing of document images using the projective invariants called the "cross-ratios", (2) Retrieval as voting for partial signatures of document images defined by the cross-ratios. From experimental results using digital cameras with high and low resolutions, we demonstrate the effectiveness of the proposed method.