A multi-layer separation based system for camera-based complex map image retrieval
Résumé
In this paper, we present a method of camera-based document image retrieval for
heterogeneous-content document using a multi-layer separating approach. We use Locally
Likely Arrangement Hashing (LLAH) extracting text features on the layer which contains
text. In addition, we employ a technique of reducing the memory required for storing the
hash table. Experiment result show that our approach is efficient in term of accuracy result
and real-time retrieval for heterogeneous-content document camera-based retrieval