Word spotting and recognition are among the most important applications used today in the
field of document processing and text understanding. In word spotting, the goal is to search …

Word spotting provides an efficient mechanism for word searching and indexing of historical
documents. In this paper we present a novel feature descriptor, radial descriptor, and study …

Handwriting recognition consists in obtaining the transcription of a text image. Recent word
spotting methods based on attribute embedding have shown good performance when …

Large amounts of handwritten documents have been digitized, and the need to search and
index these documents is increasing to make them more accessible. Different word spotting …

With the ever-increasing amounts of published materials being made available, developing
efficient means of locating target items has become a subject of significant interest. Among …

In this paper, a new efficient word spotting methodology is presented that can be applied to
historical printed documents without requiring any previous block or word segmentation …

The automatic recognition of historical handwritten documents is still considered a
challenging task. For this reason, word spotting emerges as a good alternative for making …

In this paper we propose a segmentation-free approach to word spotting. Word images are
first encoded into feature vectors using Fisher Vector. Then, these feature vectors are used …

Recognition of old Greek document images containing polytonic (multi accent) characters is
a challenging task due to the large number of existing character classes (more than 270) …

Handwritten historical documents pose extremely challenging problems for automatic
analysis. This is due to the high variability observed in handwritten script, the use of writing …