Traditional approaches to combining classifiers attempt to improve classification accuracy at the cost of increased processing. They may be viewed as providing an accuracy-speed tr...
Kumar Chellapilla, Michael Shilman, Patrice Simard
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 Orga...
Abstract. In this paper, we present a method for the automatic extraction of numerical fields (zip codes, phone numbers, etc.) from incoming mail documents. The approach is based o...
Text detection and tracking is an important step in a video content analysis system as it brings important semantic clues which is a vital supplemental source of index information....
This paper presents a language identification technique that differentiates Latin-based languages in degraded and distorted document images. Different from the reported methods tha...
This paper presents a document restoration technique that is able to flatten curled document images captured through a digital camera. The proposed method corrects camera images of...
Abstract. In this paper we present a text independent on-line writer identification system based on Gaussian Mixture Models (GMMs). This system has been developed in the context of...
Marcus Liwicki, Andreas Schlapbach, Horst Bunke, S...
An efficient adaptive document classification and categorization approach is proposed for personal file creation corresponding to user's specific needs and profile. This kind ...
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 ...
A. Balasubramanian, Million Meshesha, C. V. Jawaha...