Multiple Hidden Markov Model Post Processed with Support Vector Machine to Recognize English Handwritten Numerals

Prasad Binod Kumar; Sanyal Goutam

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Multiple Hidden Markov Model Post Processed with Support Vector Machine to Recognize English Handwritten Numerals

机译：使用支持向量机处理的多个隐藏的马尔可夫模型帖子识别英语手写的数字

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摘要

This paper presents rotation and size invariant English numerals recognition system with, competitive recognition rate. The novelty of this paper is the introduction of two unique methods of feature extraction namely Pixel Moment of Inertia (PMI) and Delta Distance Coding (DDC). The proposed Multiple Hidden Markov Model (MHMM) is a two tier model to neutralize the effect of two very frequent writing styles of numerals '4' and '7' on their recognition rates. The novelty of PMI is that it finds moment of all the pixels of a specified zone about the central pixel and not about geometrical centroid of image area. In this paper, PMI has been observed to have an upper hand over centroidal MI. DDC is a new technique of curvature coding, based on distance from a reference level and is similar to the logic behind Delta modulation scheme in Digital Communications. Thus, the current paper correlates two digital domains namely, Digital Image Processing and Digital Communications. Support Vector Machine differentiates two close output classes obtained from classification with MHMM. The overall recognition accuracy rate of 99.17% has been achieved based on MNIST database.

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来源
《International Journal of Artificial Intelligence Tools: Architectures, Languages, Algorithms》 |2018年第5期|共18页
作者
Prasad Binod Kumar; Sanyal Goutam;
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作者单位

Natl Inst Technol Durgapur WB India;

Natl Inst Technol Durgapur WB India;

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原文格式 PDF
正文语种 eng
中图分类人工智能理论;
关键词
Rotation and size invariant; Pixel Moment of Inertia (PMI); Delta Distance Coding (DDC); crossing features; Multiple Hidden Markov Model (MHMM); Support Vector Machine (SVM);

机译：旋转和尺寸不变;像素惯性矩（PMI）;三角洲距离编码（DDC）;交叉特征;多个隐马尔可夫模型（MHMM）;支持向量机（SVM）;

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3. Multiple Hidden Markov Model Post Processed with Support Vector Machine to Recognize English Handwritten Numerals [J] . Prasad Binod Kumar, Sanyal Goutam International Journal of Artificial Intelligence Tools: Architectures, Languages, Algorithms . 2018,第5期

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Multiple Hidden Markov Model Post Processed with Support Vector Machine to Recognize English Handwritten Numerals

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