Efficient Word Retrieval by Means of SOM Clustering and PCA

Abstract. We propose an approach for efficient word retrieval from printed documents belonging to Digital Libraries. The approach combines word image clustering (based on Self Organizing Maps, SOM) with Principal Component Analysis. The combination of these methods allows us to efficiently retrieve the matching words from large documents collections without the need for a direct comparison of the query word with each indexed word.

• Type: Conference
• Year: 2006
• Where: DAS
• Authors: Simone Marinai, Stefano Faini, Emanuele Marino, Giovanni Soda
• Keywords: Approach Combines Word, DAS 2006, Document Analysis, Efficient Word Retrieval, Self Organizing Maps