Invariant pattern recognition: smart algorithms for segmented two-dimensional patterns with an axis of symmetry

Jianping Yao; Guy Lebreton

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Invariant pattern recognition: smart algorithms for segmented two-dimensional patterns with an axis of symmetry

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We propose an approach to realize distortion-invariant pat tern recognition for segmented 2-D patterns with an axis of symmetry. Parameters of distorted input pattern are first estimated and normalized Invariant pattern recognition is then achieved by correlating the normalized input pattern with the undistorted reference, using a classical matched filter or its modified version. This approach realizes pattern recognition invariant to rotation, scale, and projection without the need to synthesize a distortion-invariant filter. Simulation results demonstrate the effectiveness of this approach. # 1999 Society of Photo-Optical Instrumentation Engineers. S0091-3286(99)01012-0

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《Optical Engineering》 |1999年第12期|2022-2028|共7页
作者
Jianping Yao; Guy Lebreton;
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作者单位

Nanyang Technological University School of Electrical and Electronic Engineering/ Nanyang Avenue Singapore 639798 E-mail: ejpyao@ntu.edu.sg;

Université de Toulon et du Var Groupe d'Etudes Signaux et Systèmes/ B.P. 132 83957 La Garde Cedex, France E-mail:Iebreton @ univ-tln.fr;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类光学仪器;
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Invariant pattern recognition: smart algorithms for segmented two-dimensional patterns with an axis of symmetry

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