This repository contains the source codes of Locally Likely Arrangement Hashing (LLAH), a real-time camera-captured document image retrieval method, written by Kazutaka Takeda.

Related papers are found in the publication database of Intelligent Media Processing Laboratory, Department of Computer Science and Intelligent Systems Graduate School of Engineering, Osaka Prefecture University.

Representative References:

• Kazutaka Takeda, Koichi Kise, Masakazu Iwamura
  Real-Time Document Image Retrieval for a 10 Million Pages Database with a Memory Efficient and Stability Improved LLAH
  Proc. 11th International Conference on Document Analysis and Recognition, pp.1054-1058, Beijing, China (2011-9)

• Kazutaka Takeda, Koichi Kise, Masakazu Iwamura
  Memory Reduction for Real-Time Document Image Retrieval with a 20 Million Pages Database
  Proc. Fourth International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2011), pp.59-64, Beijing, China (2011-9)

• Kazutaka Takeda, Koichi Kise, Masakazu Iwamura
  Real-Time Document Image Retrieval on a Smartphone
  Proceedings of the 10th IAPR International Workshop on Document Analysis Systems (DAS2012), pp.225-229, Gold Coast, Queensland, Australia (2012-3)