In this paper, we have proposed approach for skew detection and correction of handwritten and printed Gujarati document using Linear Regression method/technique. Skew detection and correction is important for any recognition system as it directly affects the recognition process of characters/documents. The proposed method work involves linear regression formula for detecting angle of rotation a...

In this paper we present a method for segmentation of documents image with complex structure. This technique based on GLCM (Grey Level Co-occurrence Matrix) used to segment this type of document in three regions namely, 'graphics', 'background' and 'text'. Very briefly, this method is to divide the document image, in block size chosen after a series of tests and then applying the co-occurrence ...

Document identifier assignment is a technique for inverted file index compression, by reducing d-gap value of posting lists. It was approached by either TSP or clustering methods in existing study. However, there is no proper formulation for this problem and the existing approaches has no theory guarantee to be good approximations. In this paper, we first formulate document identifier assignmen...

Now a day’s data mining has become one of the most fascinating domains in each and every field like medical, shopping, business, MNC companies, information technology and a lot more. As we all know that the main goal of data mining is to extract the valuable information from large data sets, in order to retrieve the desired result as an output. In this thesis we mainly try to extract the large ...

In the previous lecture we discussed pivoted document length normalization [Singhal et al. 96], a simple technique that applies a correction for the observation that document relevance correlates with document length. Through careful empirical verification of previous assumptions, they showed that the seemingly simple normalization term could have a big impact on results. However, in our discus...