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optical pattern recognition with adjustable sensitivity to shape and texture

OPTICS COMMUNICATIONS 2002年第4-6期202卷 239-255页

作者： Pérez, E Millán, MS Chalasinska-Macukow, K Univ Politecn Catalunya Dept Opt & Optometry Terrassa 08222 Spain Warsaw Univ Div Informat Opt Inst Geophys PL-02093 Warsaw Poland

In this paper, an optical pattern recognition system with adjustable sensitivity to shape distortions and texture changes of the objects is presented. Application to a recognition task where the information of texture is the most decisive feature for a given object to be detected is provided. We apply the dual nonlinear correlation (DNC) model along with a support function acting in the frequency domain. This support function performs as an additional non-linearity that enhances the information of some selected frequency bands related to the textural content of the target. A mathematical analysis allows the authors to show the usefulness of the proposed support function in the frame of the DNC model. The recognition system is applied to accomplish different recognition tasks involving model and real textured objects. The proposed optoelectronic correlator has been used to obtain successful experimental optical results, which are in accordance with the simulated results also provided. (C) 2002 Elsevier Science B.V. All rights reserved.

关键词： optical pattern recognition adjustable discrimination capability texture nonlinear correlation

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optical pattern recognition by extracting least substructuring elements

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optical ENGINEERING 1999年第10期38卷 1694-1698页

作者： Liu, Y Chen, S Guo, PY Shen, JY Zhai, HC Zhang, YX Nankai Univ Inst Modern Opt Tianjin 300071 Peoples R China Nankai Univ Opt Informat Sci Lab SEC Tianjin 300071 Peoples R China

optical pattern recognition and classification are commonly implemented by means of correlation, and a specialized filter for the patterns to be recognized must be constructed first. Although it has the inherent advantages of high speed, shift invariance, and high distinguishability, how to build an effective and easily implemented filter or group of filters still remains an open problem. By combining the methods of correlation filtering, transform encoding, and neural network mapping, a least substructuring elements (LSE) extracting method is proposed in this paper. Some basic substructuring elements of a specific group of patterns to be processed could be extracted to compose masks in the least number. Computer simulation upon the 26 English capital letters is provided. One integrated hybrid optoelectronic implementation system is described, (C) 1999 Society of Photo-optical Instrumentation Engineers. [S0091-3286(99)00710-2].

关键词： optical pattern recognition Hough transform neural network correlation filtering transform encoding character recognition

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optical-pattern recognition USING A SYNTHETIC DISCRIMINANT AMPLITUDE-COMPENSATED MATCHED-FILTER

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APPLIED OPTICS 1993年第2期32卷 184-189页

作者： WANG, ZQ GILLESPIE, WA CARTWRIGHT, CM SOUTAR, C []The authors are with the Department of Electronic Electrical Engineering Dundee Institute of Technology Bell Street Dundee DD1 1HG UK.

A technique for optical pattern recognition using an amplitude-compensated matched filter is presented. With the synthetic discriminant function in a matched spatial filtering application ar iterative technique is employed to first obtain the synthetic discriminant functions for the phase-only matched filter and then is extended to the amplitude-compensated matched filter. Computer simulation shows that the suggested spatial filter has a high signal-to-noise ratio and good Horner efficiency, and it is more sensitive to changes in the input image.

关键词： SYNTHETIC DISCRIMINANT FUNCTION PHASE-ONLY FILTER optical pattern recognition optical SIGNAL PROCESSING

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optical pattern recognition system based on parallel spatial filtering using synthetic discriminant function

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JAPANESE JOURNAL OF APPLIED PHYSICS PART 1-REGULAR PAPERS SHORT NOTES & REVIEW PAPERS 2000年第3B期39卷 1571-1575页

作者： Takahashi, T Katayama, T Iga, K Tokyo Inst Technol Precis & Intelligence Lab Midori Ku Yokohama Kanagawa 2268503 Japan

In this paper, we propose an optical pattern recognition system based on spatial filtering using a synthetic discriminant function (SDF). In this system, the input image is multiplexed by a microlens an ay under incoherent illumination, and then the optical inner product of input images and SDF filters is optically conducted. The image is recognized by thresholding the optical inner product values. The present SDF filter was constructed with pseudogradation transparent filters fabricated by electron-beam lithography. We performed an experiment that involved the recognition of ten Arabic numerals and evaluated the discriminating characteristics of parallel pattern recognition. We confirm that the proposed system can function as a parallel recognition system without the need to scan images.

关键词： incoherent optical processing microlens array synthetic discriminant function pseudogradation filter optical pattern recognition

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optical-pattern recognition FOR VALIDATION AND SECURITY VERIFICATION 5

OPTICAL-PATTERN RECOGNITION FOR VALIDATION AND SECURITY VERI...

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5th Conference on optical pattern recognition

作者： JAVIDI, B HORNER, JL UNIV CONNECTICUT DEPT ESESTORRSCT 06269

ISBN: (纸本)0819415413

We propose an idea for security verification of credit cards, passports, and other ID so that they cannot easily be reproduced. A new scheme of complex phase/amplitude patterns that cannot be seen and cannot be copied by an intensity sensitive detector such as a CCD camera is used. The basic idea is to permanently and irretrievably bond a phase mask to a primary identification amplitude pattern such as a fingerprint, a picture of a face, or a signature. Computer simulation results and tests of the proposed system will be provided to verify that both the phase mask and the primary pattern are separately readable and identifiable in an optical processor or correlator.

关键词： Photomasks optical correlators optical pattern recognition CCD image sensors Sensors Spatial filters CCD cameras Spatial light modulators Holograms Photography

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optical-pattern recognition - A PERSONAL VIEWPOINT

OPTICAL-PATTERN RECOGNITION - A PERSONAL VIEWPOINT

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CONF ON HOLOGRAPHY, INTERFEROMETRY, AND optical pattern recognition IN BIOMEDICINE 2

作者： CAULFIELD, HJ Alabama A&M Univ. (United States)

ISBN: (纸本)0819407933

People do pattern recognition differently from current optical computers, but we can learn from them. This is one sense of `personal.'' The other is that I have sacrificed thoroughness and completeness to cut to the heart of what one person (I) believes to be the key current research issues. It is the kind of paper this person likes to read from others

关键词： optical pattern recognition pattern recognition Fourier transforms Spatial light modulators Tissue optics Lenses Computed tomography Heart optical filters Sensors

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optical pattern recognition algorithms on neural-logic equivalental models and demonstration of their prospectiveness and possible implementations.

Optical Pattern recognition algorithms on neural-logic equiv...

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Conference on optical pattern recognition XII

作者： Krasilenko, VG Nikolsky, AI Zaitsev, AV Voloshin, VV CSIVI Keletskaya 86/131 Vinnitsa 21021 Ukraine

ISBN: (纸本)0819440825

Historic information regarding the appearence and creation of fundamentals of algebro-logical apparatus-"equivalental algebra" for description of neuro-nets paradigms and algorithms is considered which is unification of theory of neuron nets, linear algebra and the most generalized neuro-biology extended for matrix case. A survay is given of "equivalental models" of neuron nets (NN) and associative memory is suggested new, modified matrix-tenzor neurological equivalental models (MTNLEMS) are offered with double adaptive -equivalental weighing (DAEW) for spatial -non-invariant recognition (SNIR) and space-invariant rrecognition (SIR) of 2-D images (patterns). It is shown, that MTNLEMs DAEW are the most generalized, they can describe the processes in NN both within the frames of known paradigms and within new "equivalental" paradigm of non-interation type, and the computing process in NN under using the offered MTNLEMs DAEW is reduced to two-step and multistep algorithms and step-by-step matrix-tenter procedures(for SNIR) and procedures of defining of space-dependent equivalental functions from two images (for SIR). Possible architectures of NN and MTNLEMs DAEW SNIR are discussed on base of matrix-tenzor equivalentors (MTE), represented by two optical matrix-tenter multiplicators. For realization of MTMLEMs DAEW SDR its arhitecture is offered as modification of known correlators and convolution operation systems. The results of modelling are given which confirm the possibility of increasing the NN capacity with such MTNLEMs at least up to 1,1 ammount of neurons! A successful recognition has been received of both large dimensional (from 100x100 up to 150x150 pixels) two level 2D images, and multilevel 2D-images (49x75x8bit) in the models DAEW SNIR (with the number of neurons from 3000 to 20000) and in models DAEW SIR.

关键词： optical pattern recognition neural networks equivalental models matrix tenzor equivalentor space-invariant equivalental function

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EXPERIMENTAL IMPLEMENTATION OF CORRELATION FILTERS FOR optical-pattern recognition IN DEFOCUSED IMAGES

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JOURNAL OF OPTICS-NOUVELLE REVUE D OPTIQUE 1994年第1期25卷 25-31页

作者： CAMPOS, J BOSCH, S SALLENT, J BERZAL, A Dept. de Fisica Aplicada i Electron. Barcelona Univ. Spain

A comparison between computed and experimental results of implementing several procedures for optical pattern recognition in defocused images using correlation filters is presented. The study is developed for the classical matched filter (CMF), the phase-only filter (POF) and the inverse filter (IF). Several filter modifications have been incorporated to CMFs and IFs in order to reduce their dynamic range. The discrimination capability of the different filters is analyzed as a function of the defocusing of the input scene.

关键词： optical INFORMATION IMAGE FORMATION AND ANALYSIS optical pattern recognition

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Massive parallel optical pattern recognition and retrieval via a two-stage high-capacity multichannel holographic random access memory system

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optical ENGINEERING 2000年第2期39卷 401-408页

作者： Cai, LZ Liu, HK Lumin Inc S Pasadena CA 91030 USA Shandong Univ Dept Opt Jinan 250100 Peoples R China

The multistage holographic optical random access memory (HORAM) system reported recently by Liu et al. provides a new degree of freedom for improving storage capacity. We further present a theoretical and practical analysis of the HORAM system with experimental results. Our discussions include the system design and geometrical requirements, its applications for multichannel pattern recognition and associative memory, the 2-D and 3-D information storage capacity, and multichannel image storage and retrieval via VanderLugt correlator (VLC) filters and joint transform holograms. A series of experiments are performed to demonstrate the feasibility of the multichannel pattern recognition and image retrieval with both the VLC and joint transform correlator (JTC) architectures. The experimental results with as many as 2025 channels show good agreement with the theoretical analysis. (C) 2000 Society no Photo-optical Instrumentation Engineers. [S0091 -3286(00)00902-8].

关键词： multistage holographic optical random access memory system holographic storage optical pattern recognition image storage and retrieval optical information processing

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Projection-slice synthetic discriminant functions for optical pattern recognition

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APPLIED OPTICS 1997年第14期36卷 3022-3034页

作者： Riasati, VR Abushagur, MAG The authors are with the Department of Electrical and Computer Engineering University of Alabama in Huntsville Huntsville Alabama 35899-0100.

The projection-slice synthetic discriminant function (PSDF) filter is introduced and proposed for distortion-invariant pattern-recognition applications. The projection-slice theorem, often used in tomographic applications for medical imaging, is utilized to implement a distortion-invariant filter. Taking M projections from one training image and combining them with (N - 1)M projections taken from another N - 1 training image accomplishes this. With the projection-slice theorem, each set of these M projections can be represented as M one-dimensional slices of the two-dimensional Fourier transform of the particular training image. Therefore, the PSDF filter has the advantage of matching each of the training images with at least M slices of their respective Fourier transforms. This filter is theoretically analyzed, numerically simulated, and experimentally implemented and tested to verify the simulation results. These tests show that the PSDF filter significantly outperforms the matched-filter and the basic synthetic discriminant function technique for the particular images used. (C) 1997 optical Society of America.

关键词： synthetic discriminant function (SDF) projection-slice theorem projection-slice synthetic discriminant function (PSDF) optical pattern recognition correlation optical correlation systems

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