Off-line Farsi / arabic handwritten word recognition using vector quantization and hidden Markov model

@article{Vaseghi2008OfflineF,
  title={Off-line Farsi / arabic handwritten word recognition using vector quantization and hidden Markov model},
  author={Behrouz Vaseghi and Shahpour Alirezaee and Mazda Ahmadi and Rasoul Amirfattahi},
  journal={2008 IEEE International Multitopic Conference},
  year={2008},
  pages={575-578}
}
In this paper a Farsi handwritten word recognition system for reading city names in postal addresses is presented. The method is based on vector quantization (VQ) and hidden Markov model (HMM). The sliding right to left window is used to extract the proper features(we have proposed four features). After feature extraction, K-means clustering is used for generation a codebook and VQ generates a codeword for each word image. In the next stage, HMM is trained by Baum Welch algorithm for each city… CONTINUE READING