Informatics Publishing Limited

S. Dhivyaprabha ¹, G. Jagajothi ¹

Affiliations
1 Periyar Maniammai University, Thanjavur, IN

Abstract

In this project, we present algorithm for extracting text-lines from handwritten document images. Our algorithm is based on the novel approach for content aware image resizing. We adopted the signed distance transform to generate the energy map, where extreme points indicate the layout of text-lines. Dynamic programming is then used to compute the minimum energy left-to right paths, which pass along the "middle" of the text lines. Each path intersects a set of components, which determine the extracted text-line and estimate its height. The estimated height determines the text-line’s region, which guides splitting touching components among consecutive lines. Unassigned components that fall within the region of a text-line are added to the components list of the line. The components between two consecutive lines are processed when the two lines are extracted and assigned to the closest text-line, based on the attributes of extracted lines, the sizes and positions of components. Our experimental results on Tamil, Hindi, and English historical documents show that our approach manage to separate multi-skew text blocks into lines at high success rates.<

Keywords

Handwritten Document, State Estimation in Document Images, Text-Line Extraction.

Full Text

     

G. Jagajothi ¹, M. Uma Maheswari ², D. Indhu ², D. Sathiya ², P. Sundari ²

Affiliations
1 Department of Information Technology, Periyar Maniammai University, Thanjavur, Tamil Nadu, IN
2 Periyar Maniammai University, Thanjavur, Tamil Nadu, IN

Abstract

Search queries on biomedical databases, such as PubMed, often return a large number of results, only a small subset of which is relevant to the user. Ranking and categorization, which can also be combined, have been proposed to alleviate this information overload problem. Results categorization for biomedical databases is the focus of this work. A natural way to organize biomedical citations is according to their MeSH annotations. MeSH is a comprehensive concept hierarchy used by PubMed. In this paper, we present the BioNav system, a novel search interface that enables the user to navigate large number of query results by organizing them using the MeSH concept hierarchy. First, the query results are organized into a navigation tree. At each node expansion step, BioNav reveals only a small subset of the concept nodes, selected such that the expected user navigation cost is minimized.

Keywords

Interactive Data Exploration and Discovery, Search Process, Graphical User Interfaces, Interaction Styles.

Full Text