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With an aim to high-level understanding of the mathematical contents in a document image the requirement of math-zone extraction and recognition technique is obvious. In this paper we present fully auotmatic segmentation of displayed-math zones from the document image, using only the spatial layout information of math-formulas and equations , so as to help(More)
We have designed and implemented an experimental CBIR system that uses a texture co-occurence matrix. Fuzzy index of major colours are also used as colour feature to improve performance. A new measure is suggested to find out the relevance of the retrieved images and to evaluate the CBIR system. Accordingly, the performance study of the proposed system is(More)
With an aim to extract the structural information from the table of contents (TOC) to help develop digital document library the requirement of identifying/segmenting the TOC page is obvious. The objective to create digital document library is to provide a non-labour intensive, cheap and flexible way of storing, representing and managing the paper document(More)
In content based image retrieval (CBIR) system, search engine retrieves the images similar to the query image according to a similarity measure. It should be fast enough and must have a high precision of retrieval. Indexing scheme is used to achieve a fast response and relevance feedback helps in improving the retrieval precision. In this paper, a human(More)
Cloud Computing has become the most popular distributed computing environment because it does not require any user level management and controlling on the low-level implementation of the system. However, efficient resource provisioning is a key challenge for cloud computing and resolving such kind of problem can reduce under or over utilization of(More)
Text within a camera grabbed image can contain a huge amount of meta data about that scene. Such meta data can be useful for identification, indexing and retrieval purposes. Detection of coloured scene text is a new challenge for all camera based images. Common problems for text extraction from camera based images are the lack of prior knowledge of any kind(More)