Offline Arabic handwritten text recognition: a survey
MT Parvez, SA Mahmoud - ACM Computing Surveys (CSUR), 2013 - dl.acm.org
Research in offline Arabic handwriting recognition has increased considerably in the past
few years. This is evident from the numerous research results published recently in major …
few years. This is evident from the numerous research results published recently in major …
Arabic handwriting recognition using structural and syntactic pattern attributes
MT Parvez, SA Mahmoud - Pattern Recognition, 2013 - Elsevier
In this paper, we present research results on off-line Arabic handwriting recognition using
structural techniques. Statistical methods have been more common in the reported research …
structural techniques. Statistical methods have been more common in the reported research …
Cardis: A swedish historical handwritten character and word dataset
This paper introduces a new publicly available image-based Swedish historical handwritten
character and word dataset named C haracter Ar kiv D igital S weden (CArDIS)(https …
character and word dataset named C haracter Ar kiv D igital S weden (CArDIS)(https …
Binary segmentation algorithm for English cursive handwriting recognition
Segmentation in off-line cursive handwriting recognition is a process for extracting individual
characters from handwritten words. It is one of the most difficult processes in handwriting …
characters from handwritten words. It is one of the most difficult processes in handwriting …
ICDAR 2009-Arabic handwriting recognition competition
This paper describes the Arabic handwriting recognition competition held at ICDAR 2009.
This third competition (the first two were held at ICDAR 2005 and 2007, respectively) again …
This third competition (the first two were held at ICDAR 2005 and 2007, respectively) again …
[PDF][PDF] Persian Handwritten Digit Recognition Using Combination of Convolutional Neural Network and Support Vector Machine Methods.
Persian handwritten digit recognition is one of the important topics of image processing
which significantly considered by researchers due to its many applications. The most …
which significantly considered by researchers due to its many applications. The most …
Handwritten Farsi word recognition using NN-based fusion of HMM classifiers with different types of features
In this paper, an off-line method, based on hidden Markov model, HMM, is used for holistic
recognition of handwritten words of a limited vocabulary. Three feature sets based on image …
recognition of handwritten words of a limited vocabulary. Three feature sets based on image …
[PDF][PDF] IfN/Farsi-Database: a database of Farsi handwritten city names
The great success and high recognition rates of both OCR systems and recognition systems
for handwritten words are inconceivable without the availability of huge data sets of real …
for handwritten words are inconceivable without the availability of huge data sets of real …
Optical character recognition of printed persian/arabic documents
M Shafii - 2014 - scholar.uwindsor.ca
Texts are an important representation of language. Due to the volume of texts generated and
the historical value of some documents, it is imperative to use computers to read generated …
the historical value of some documents, it is imperative to use computers to read generated …
Zero knowledge hidden markov model inference
Hidden Markov models (HMMs) are widely used in pattern recognition. HMM construction
requires an initial model structure that is used as a starting point to estimate the model's …
requires an initial model structure that is used as a starting point to estimate the model's …