Main Reference PaperImproving Offline Handwritten Text Recognition with Hybrid HMM/ANN Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, April 2011.
  • This paper proposes the use of hybrid Hidden Markov Model (HMM)/Artificial Neural Network (ANN) models for recognizing unconstrained offline handwritten texts. The structural part of the optical models has been modeled with Markov chains, and a Multilayer Perceptron is used to estimate the emission probabilities. This paper also presents new techniques to remove slope and slant from handwritten text and to normalize the size of text images with supervised learning methods.

+ Description
  • This paper proposes the use of hybrid Hidden Markov Model (HMM)/Artificial Neural Network (ANN) models for recognizing unconstrained offline handwritten texts. The structural part of the optical models has been modeled with Markov chains, and a Multilayer Perceptron is used to estimate the emission probabilities. This paper also presents new techniques to remove slope and slant from handwritten text and to normalize the size of text images with supervised learning methods.

  • To proposes the use of hybrid Hidden Markov Model (HMM)/Artificial Neural Network (ANN) models for recognizing unconstrained offline handwritten texts.

  • To propose a new technique to remove slope and slant from handwritten text and to normalize the size of text images with supervised learning methods.

+ Aim & Objectives
  • To proposes the use of hybrid Hidden Markov Model (HMM)/Artificial Neural Network (ANN) models for recognizing unconstrained offline handwritten texts.

  • To propose a new technique to remove slope and slant from handwritten text and to normalize the size of text images with supervised learning methods.

  • Multiplayer perceptron based preprocessing is contributed in which slope and slant is removed and normalized.

+ Contribution
  • Multiplayer perceptron based preprocessing is contributed in which slope and slant is removed and normalized.

  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, J2SE

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, J2SE

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+ Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

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+ Order To Delivery
  • No Readymade Projects-Depending on the complexity of the project and requirements.

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