A survey of document image word spotting techniques
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 …
retrieval purposes. In this framework, word spotting is an alternative solution to optical …
Word spotting and recognition with embedded attributes
This paper addresses the problems of word spotting and word recognition on images. In
word spotting, the goal is to find all instances of a query word in a dataset of images. In …
word spotting, the goal is to find all instances of a query word in a dataset of images. In …
Supervised mid-level features for word image representation
A Gordo - Proceedings of the IEEE conference on computer …, 2015 - openaccess.thecvf.com
This paper addresses the problem of learning word image representations: given the
cropped image of a word, we are interested in finding a descriptive, robust, and compact …
cropped image of a word, we are interested in finding a descriptive, robust, and compact …
Label embedding: A frugal baseline for text recognition
The standard approach to recognizing text in images consists in first classifying local image
regions into candidate characters and then combining them with high-level word models …
regions into candidate characters and then combining them with high-level word models …
A review of deep learning techniques in document image word spotting
L Kumari, A Sharma - Archives of Computational Methods in Engineering, 2022 - Springer
From the early days of pattern recognition, word spotting have been important test beds for
studying how well machines can perform better decision making. In recent years, word …
studying how well machines can perform better decision making. In recent years, word …
Matching handwritten document images
We address the problem of predicting similarity between a pair of handwritten document
images written by potentially different individuals. This has applications related to matching …
images written by potentially different individuals. This has applications related to matching …
A simple and fast word spotting method
A Kovalchuk, L Wolf… - 2014 14th international …, 2014 - ieeexplore.ieee.org
A simple and efficient pipeline for word spotting in handwritten documents is proposed. The
method allows for extremely rapid querying, while still maintaining high accuracy. The …
method allows for extremely rapid querying, while still maintaining high accuracy. The …
Coarse-to-fine cascade adaptations for license plate recognition with convolutional neural networks
AG Soldevila, J Almazan - US Patent 9,785,855, 2017 - Google Patents
Methods and systems for license plate recognition utilizing a trained neural network. In an
example embodiment, a neural network can be subject to operations involving iteratively …
example embodiment, a neural network can be subject to operations involving iteratively …
A study of bag-of-visual-words representations for handwritten keyword spotting
Abstract The Bag-of-Visual-Words (BoVW) framework has gained popularity among the
document image analysis community, specifically as a representation of handwritten words …
document image analysis community, specifically as a representation of handwritten words …
ICFHR 2014 competition on handwritten keyword spotting (H-KWS 2014)
H-KWS 2014 is the Handwritten Keyword Spotting Competition organized in conjunction
with ICFHR 2014 conference. The main objective of the competition is to record current …
with ICFHR 2014 conference. The main objective of the competition is to record current …