Vast collections of documents available in image format need to be indexed for information
retrieval purposes. In this framework, word spotting is an alternative solution to optical …

To fill a gap in online educational tools, we are working to support search in lecture videos
using formulas from lecture notes and vice versa. We use an existing system to convert …

Contours and skeletons are well-known shape representations that embody visual
information by using a limited set of object points. Both representations have been applied in …

We present a visual search engine for graphics such as math, chemical diagrams, and
figures. Graphics are represented using Line-of-Sight (LOS) graphs, with symbols connected …

Large data collections containing millions of math formulae in different formats are available
on-line. Retrieving math expressions from these collections is challenging. We propose a …

We present a method for document image dataset indexing and compression by clustering
of connected components. Our method extracts connected components from each dataset …

The presented thesis follows two directions. The first one disposes a technique for text and
graphic separation in comics. The second one points out a learning free segmentation free …

Query spotting in document images is a subclass of Content-Based Image Retrieval (CBIR)
algorithms concerned with detecting occurrences of a query in a document image. Due to …

In this work, we propose identification of text line from a historical Kannada document. The
proposed method consists of three stages: initially, preprocess the image by using Sauvola's …

Use of handwritten paper documents is still playing an importance role, despite growing use
of electronic documents in our day to day life. Current technologies allow convenient and …