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Offline Arabic handwriting recognition: a survey
LM Lorigo, V Govindaraju - IEEE transactions on pattern …, 2006 - ieeexplore.ieee.org
The automatic recognition of text on scanned images has enabled many applications such
as searching for words in large volumes of documents, automatic sorting of postal mail, and …
as searching for words in large volumes of documents, automatic sorting of postal mail, and …
Survey on handwriting-based personality trait identification
K Chaudhari, A Thakkar - Expert systems with applications, 2019 - Elsevier
Personality is a combination of various characteristics and qualities of an individual. It may
be affected by the growth and evolution of one's values, attributes, relationships with the …
be affected by the growth and evolution of one's values, attributes, relationships with the …
A GA based hierarchical feature selection approach for handwritten word recognition
Feature selection plays a key role in reducing the dimensionality of a feature vector by
discarding redundant and irrelevant ones. In this paper, a Genetic Algorithm-based …
discarding redundant and irrelevant ones. In this paper, a Genetic Algorithm-based …
Recognizing objects in adversarial clutter: Breaking a visual CAPTCHA
In this paper we explore object recognition in clutter. We test our object recognition
techniques on Gimpy and EZ-Gimpy, examples of visual CAPTCHAs. A CAPTCHA (" …
techniques on Gimpy and EZ-Gimpy, examples of visual CAPTCHAs. A CAPTCHA (" …
Combined evidence annotation of transposable elements in genome sequences
H Quesneville, CM Bergman, O Andrieu… - PLoS computational …, 2005 - journals.plos.org
Transposable elements (TEs) are mobile, repetitive sequences that make up significant
fractions of metazoan genomes. Despite their near ubiquity and importance in genome and …
fractions of metazoan genomes. Despite their near ubiquity and importance in genome and …
Holistic word recognition for handwritten historical documents
V Lavrenko, TM Rath… - … International Workshop on …, 2004 - ieeexplore.ieee.org
Most offline handwriting recognition approaches proceed by segmenting words into smaller
pieces (usually characters) which are recognized separately. The recognition result of a …
pieces (usually characters) which are recognized separately. The recognition result of a …
Distortion estimation techniques in solving visual CAPTCHAs
G Moy, N Jones, C Harkless… - Proceedings of the 2004 …, 2004 - ieeexplore.ieee.org
This paper describes two distortion estimation techniques for object recognition that solve
EZ-Gimpy and Gimpy-r, two of the visual CAPTCHAs (" completely automated public turing …
EZ-Gimpy and Gimpy-r, two of the visual CAPTCHAs (" completely automated public turing …
HMM-based Indic handwritten word recognition using zone segmentation
This paper presents a novel approach towards Indic handwritten word recognition using
zone-wise information. Because of complex nature due to compound characters, modifiers …
zone-wise information. Because of complex nature due to compound characters, modifiers …
Large vocabulary off-line handwriting recognition: A survey
AL Koerich, R Sabourin, CY Suen - Pattern Analysis & Applications, 2003 - Springer
Considerable progress has been made in handwriting recognition technology over the last
few years. Thus far, handwriting recognition systems have been limited to small and medium …
few years. Thus far, handwriting recognition systems have been limited to small and medium …
[PDF][PDF] Local gradient histogram features for word spotting in unconstrained handwritten documents
JA Rodriguez, F Perronnin - Proc. 1st ICFHR, 2008 - cenparmi.concordia.ca
In this article we propose a local descriptor for an unconstrained handwritten word spotting
task. The presented features are inspired by the SIFT keypoint descriptor, widely employed …
task. The presented features are inspired by the SIFT keypoint descriptor, widely employed …