Retrieval from Document Image Collections

Abstract. This paper presents a system for retrieval of relevant documents from large document image collections. We achieve effective search and retrieval from a large collection of printed document images by matching image features at word-level. For representations of the words, profile-based and shape-based features are employed. A novel DTWbased partial matching scheme is employed to take care of morphologically variant words. This is useful for grouping together similar words during the indexing process. The system supports cross-lingual search using OM-Trans transliteration and a dictionary-based approach. Systemlevel issues for retrieval (eg. scalability, effective delivery etc.) are addressed in this paper.

• Type: Conference
• Year: 2006
• Where: DAS
• Authors: A. Balasubramanian, Million Meshesha, C. V. Jawahar
• Keywords: DAS 2006, Document Analysis, Document Images, Large Document Image, Partial Matching Scheme