Dynamic and contextual information in HMM modeling for handwritten word recognition
AL Bianne-Bernard, F Menasri… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
This study aims at building an efficient word recognition system resulting from the
combination of three handwriting recognizers. The main component of this combined system …
combination of three handwriting recognizers. The main component of this combined system …
[HTML][HTML] Deep-learning-based character recognition from handwriting motion data captured using IMU and force sensors
TT Alemayoh, M Shintani, JH Lee, S Okamoto - Sensors, 2022 - mdpi.com
Digitizing handwriting is mostly performed using either image-based methods, such as
optical character recognition, or utilizing two or more devices, such as a special stylus and a …
optical character recognition, or utilizing two or more devices, such as a special stylus and a …
A holistic approach for Off-line handwritten cursive word recognition using directional feature based on Arnold transform
J Dasgupta, K Bhattacharya, B Chanda - Pattern Recognition Letters, 2016 - Elsevier
This paper presents a holistic off-line handwriting recognition system based on extraction of
directional features which depends on the stroke orientation distribution of cursive word …
directional features which depends on the stroke orientation distribution of cursive word …
Automatic processing of handwritten bank cheque images: a survey
Bank cheques (checks) are still widely used all over the world for financial transactions.
Huge volumes of handwritten bank cheques are processed manually every day in …
Huge volumes of handwritten bank cheques are processed manually every day in …
Automatic imagery Bank Cheque data extraction based on machine learning approaches: a comprehensive survey
Bank Cheques are used mainly for financial transactions due to which they are processed in
enormous amounts on daily basis around the globe. Often, Cheque execution time and …
enormous amounts on daily basis around the globe. Often, Cheque execution time and …
A system for processing handwritten bank checks automatically
R Palacios, A Gupta - Image and Vision Computing, 2008 - Elsevier
In the US and many other countries, bank checks are preprinted with the account number
and the check number in special ink and format; as such, these two numeric fields can be …
and the check number in special ink and format; as such, these two numeric fields can be …
Does color modalities affect handwriting recognition? An empirical study on Persian handwritings using convolutional neural networks
Most of the methods on handwritten recognition in the literature are focused and evaluated
on Black and White (BW) image databases. In this paper we try to answer a fundamental …
on Black and White (BW) image databases. In this paper we try to answer a fundamental …
Towards an imu-based pen online handwriting recognizer
Most online handwriting recognition systems require the use of specific writing surfaces to
extract positional data. In this paper we present a online handwriting recognition system for …
extract positional data. In this paper we present a online handwriting recognition system for …
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] Digital recognition using neural network
SAK Al-Omari, P Sumari, SA Al-Taweel… - Journal of Computer …, 2009 - academia.edu
Problem statement: Handwriting number recognition is a challenging problem researchers
had been research into this area for so long especially in the recent years. In our study there …
had been research into this area for so long especially in the recent years. In our study there …