In this paper, we present a method of camerabased document image retrieval for heterogeneous-content document using a multi-layer separating approach. We use Locally Likely Arrangement Hashing (LLAH) and PCA-SIFT for extracting features, and we show a method how to use one hash table for indexing multiple types of feature vectors. A technique of reducing the memory required for storing the hash table is also employed.