There are many video images where hand written text may appear. Therefore handwritten scene text detection in video is essential and useful for many applications for efficient ind...
Handwritten text is generally captured through two main modalities: off-line and on-line. Smart approaches to handwritten text recognition (HTR) may take advantage of both modalit...
An approach for segmenting handwritten text in a Pre-Hospital Care Report (PCR) is presented. Segmentation of lines and words in a PCR is extremely challenging due to the nature o...
Recognition of unconstrained handwritten text is still a challenge. In this paper we consider a new problem, which is the recognition of notes written on a whiteboard. Our recogni...
Segmentation of handwritten text in Gurmukhi script is an uphill task primarily because of the structural features of the script and varied writing styles. The presence of a horiz...
This paper presents a new approach to estimating the readability of handwritten text. The estimation task is posed as a regression problem. A novel Support Vector Regression (SVR)...
Paleography experts spend many hours transcribing historic documents, and state-of-the-art handwritten text recognition systems are not suitable for performing this task automatica...
Note taking is a common way for physicians to collect information from their patients in medical inquiries and diagnoses. Many times, when describing the pathology in medical recor...
Rattapoom Waranusast, Peter Haddawy, Matthew N. Da...
This document introduces a web based demo of an interactive framework for transcription of handwritten text, where the user feedback is provided by means of pen strokes on a touch...
In this paper, we present a trainable approach to discriminate between machine-printed and handwritten text. An integrated system able to localize text areas and split them in tex...