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Paper Abstract and Keywords
Presentation 2025-12-16 13:20
Design of optical shift-invariant pattern classification system -- verification of shift invariance for image input by using vector electromagnetic field analysis --
Kaisei Takahashi, Jun-ichiro Sugisaka, Koichi Hirayama (Kitami Inst. Tech.) EMT2025-68
Abstract (in Japanese) (See Japanese page) 
(in English) To achieve high-speed and energy-efficient pattern recognition, we design a machine learning system based on a 3f optical system.
The 3f optical system, consisting of lenses and diffractive optical elements, produces focused spots corresponding to an inner product of the input pattern and a constant vector, enabling pattern classification.
We have previously verified that, even in an optical system using an aberrated lens, image classification can be achieved independently of the pattern position, provided that the diffractive optical element operates under ideal conditions.
In this study, refraction on the lenses and scattering/diffraction in the diffractive optical element are simulated using vector electromagnetic field analysis to evaluate the shift invariance with respect to image inputs.
The analysis results confirm that, for an optical system designed for classification of the handwritten digit images, the output spot images hold shift-invariance.
Keyword (in Japanese) (See Japanese page) 
(in English) Artificial intelligence / Machine learning / Pattern Recognition / Diffractive optical element / Ray tracing / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 294, EMT2025-68, pp. 69-73, Dec. 2025.
Paper # EMT2025-68 
Date of Issue 2025-12-09 (EMT) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF EMT2025-68

Conference Information
Committee EMT IEE-EMT  
Conference Date 2025-12-16 - 2025-12-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Nihon Univ. Surugadai Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Electromagnetic Theory, etc. 
Paper Information
Registration To EMT 
Conference Code 2025-12-EMT-EMT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Design of optical shift-invariant pattern classification system 
Sub Title (in English) verification of shift invariance for image input by using vector electromagnetic field analysis 
Keyword(1) Artificial intelligence  
Keyword(2) Machine learning  
Keyword(3) Pattern Recognition  
Keyword(4) Diffractive optical element  
Keyword(5) Ray tracing  
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1st Author's Name Kaisei Takahashi  
1st Author's Affiliation Kitami Institute of Technology (Kitami Inst. Tech.)
2nd Author's Name Jun-ichiro Sugisaka  
2nd Author's Affiliation Kitami Institute of Technology (Kitami Inst. Tech.)
3rd Author's Name Koichi Hirayama  
3rd Author's Affiliation Kitami Institute of Technology (Kitami Inst. Tech.)
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Speaker Author-1 
Date Time 2025-12-16 13:20:00 
Presentation Time 25 minutes 
Registration for EMT 
Paper # EMT2025-68 
Volume (vol) vol.125 
Number (no) no.294 
Page pp.69-73 
#Pages 5 
Date of Issue 2025-12-09 (EMT) 

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