Nonuniform Slant Correction for Handwritten Word Recognition(Image Recognition, Computer Vision)

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概要

• 論文の詳細を見る

• Slant correction is a preprocessing technique to improve segmentation and recognition accuracy for handwritten word recognition. All conventional slant correction techniques were performed by the estimation of the average slant angle and the shear transformation. In this paper, a nonuniform slant correction technique for handwritten word recognition is proposed where the slant correction problem is formulated as a global optimal estimation problem of the sequence of local slant angles. The optimal estimation is performed by a dynamic programming based algorithm. From experimental results it was shown that the present technique outperforms conventional uniform slant correction techniques.

• 社団法人電子情報通信学会の論文
• 2004-05-01

著者

• Uchida Seiichi

  Faculty Of Information Science And Electrical Engineering Kyushu University

• Sakoe Hiroaki

  Faculty Of Engineering Kyushu University

• Sakoe Hiroaki

  Faculty Of Information Science And Electrical Engineering Kyushu University

• TAIRA Eiji

  Graduate School of Information Science and Electrical Engineering, Kyushu University

• Taira Eiji

  Graduate School Of Information Science And Electrical Engineering Kyushu University

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• A Survey of Elastic Matching Techniques for Handwritten Character Recognition(Character Recognition, Document Image Understanding and Digital Documents)
• One Dimensional-Two Dimensional Dynamic Programming Matching Algorithm for Character Recognition
• Nonuniform Slant Correction for Handwritten Word Recognition(Image Recognition, Computer Vision)
• Better Decision Boundary for Pattern Recognition with Supplementary Information(Pattem Recognition)

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