Camera-Based Document Image Retrieval as Voting for Partial Signatures of Projective Invariants
| Language | English |
|---|---|
| Type | Proceedings of International Conferences |
| Authors | Tomohiro Nakai, Koichi Kise, Masakazu Iwamura |
| Title | Camera-Based Document Image Retrieval as Voting for Partial Signatures of Projective Invariants |
| Journal | Proc. 8th International Conference on Document Analysis and Recognition (ICDAR2005) |
| Pages | pp.379-383 |
| Location | Seoul, South Korea |
| Reviewed | Reviewed |
| Date | September 2005 |
| Research fields | Document Image Analysis, Document Image Retrieval |
| DOI | 10.1109/ICDAR.2005.64 |
| Key | Nakai2005_ICDAR (id=366) |
Abstract
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.
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