Abstract 'Which are the pedestrian detectors that yield a precision above 95% at 25%
recall?'Answering such a complex query involves identifying and analyzing the results …

The ℓ1-penalized method, or the Lasso, has emerged as an important tool for the analysis of
large data sets. Many important results have been obtained for the Lasso in linear …

We present a generative probabilistic model, inspired by historical printing processes, for
transcribing images of documents from the printing press era. By jointly modeling the text of …

In this paper we introduce a novel document image classification method based on
combined visual and textual information. The proposed algorithm's pipeline is inspired to the …

European libraries and archives are filled with enciphered manuscripts from the early
modern period. These include military and diplomatic correspondence, records of secret …

In order to cope with the vast diversity of book content and typefaces, it is important for OCR
systems to leverage the strong consistency within a book but adapt to variations across …

In this paper we present a machine vision system to efficiently monitor, analyse and present
visual data acquired from a railway overhead gantry equipped with multiple cameras. This …

Abstract The Optical Character Recognition (OCR) is a process that converts characters
within images into text documents. In paperless applications, OCR systems have to ensure a …

The electronic conversion of scanned image files to readable text using optical character
recognition (OCR) software and the subsequent migration of raw OCR text to e-book text file …

Disclosed herein are system, method, and computer program product embodiments for
optical character recognition using end-to-end deep learning. In an embodiment, an optical …