Combining RtL and LtR HMMs to recognise handwritten Farsi words of small‐ and medium‐sized vocabularies

Combining RtL and LtR HMMs to recognise handwritten Farsi words of small‐ and medium‐sized vocabularies

In this study, a method for holistic recognition of handwritten Farsi words is proposed, which fuses the outputs of right‐to‐left (RtL) and left‐to‐right (LtR) hidden Markov models (HMMs). The experimental results on 16,000 images of 200 names of Iranian cities, from the ‘Iranshahr 3’ are presented...

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Bibliographic Details
Main Authors: Seyed Ali Asghar Abbaszadeh Arani, Ehsanollah Kabir, Reza Ebrahimpour
Format: Article
Language:English
Published: Wiley 2018-09-01
Series:IET Computer Vision
Subjects:
combined RtL-LtR HMMs
handwritten Farsi word recognition
medium-sized vocabularies
small-sized vocabularies
left-to-right hidden Markov models
right-to-left hidden Markov models
Online Access:https://doi.org/10.1049/iet-cvi.2017.0645

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