Keyword spotting refers to the process of retrieving all instances of a given keyword from a
document. In the present paper, a novel keyword spotting method for handwritten …

Along with the explosive growth of the amount of handwritten documents that are preserved,
processed and accessed in a digital form, handwritten document images word spotting has …

Handwritten word-spotting is traditionally viewed as an image matching task between one or
multiple query word-images and a set of candidate word-images in a database. This is a …

In this paper, we present a segmentation-free word spotting method that is able to deal with
heterogeneous document image collections. We propose a patch-based framework where …

This paper proposes a novel similarity measure between vector sequences. We work in the
framework of model-based approaches, where each sequence is first mapped to a Hidden …

The performance of handwriting recognition systems is dependent on the features extracted
from the word image. A large body of features exists in the literature, but no method has yet …

We present our work on the paleographic analysis and recognition system intended for
processing of historical Hebrew calligraphy documents. The main goal is to analyze …

The Ottoman script, which was in use for over five centuries, is an Arabic alphabet-based
writing system. It became obsolete after the change of alphabet in Turkey. There are plenty …

The retrieval of information from scanned handwritten documents is becoming vital with the
rapid increase of digitized documents, and word spotting systems have been developed to …

Considering the fact that querying by low-level object features is essential in image and
video data, an efficient approach for querying and retrieval by shape and color is proposed …