Processing of Distorted Fingerprints with use of Three-Rate Hybrid Kohonen Neural Networks

机译：使用三速率混合Kohonen神经网络处理失真的指纹

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In this paper, we present the three-rate hybrid Kohonen neural network (TRHKNN) for image processing. The received TRHKNN consists of "fast" Kohonen neural network (FKNN), "middle" Kohonen neural network (MKNN) and "slow" Kohonen neural network (SKNN). The illustrative example - recognition and restoration of distorted fingerprint - was carried out using the TRHKNN. The received TRHKNN has not only high speed of image recognition, but also high speed of image restoration. This example demonstrates that the proposed TRHKNN is capable not only to identify the distorted image of fingerprint but also to restore the undistorted image of fingerprint. The simulation results with use the software package Simulink show the computing procedure and applicability of TRHKNNs for fast-acting image processing and analysis in real-time conditions.

机译：在本文中，我们提出了用于图像处理的三速率混合Kohonen神经网络（TRHKNN）。收到的TRHKNN由“快速” Kohonen神经网络（FKNN），“中间” Kohonen神经网络（MKNN）和“慢” Kohonen神经网络（SKNN）组成。说明性示例-变形指纹的识别和恢复-使用TRHKNN进行。接收到的TRHKNN不仅具有很高的图像识别速度，而且还具有很高的图像恢复速度。该示例表明，所提出的TRHKNN不仅能够识别指纹的失真图像，而且还能够恢复指纹的未失真图像。使用Simulink软件包进行的仿真结果显示了TRHKNN在实时条件下进行快速图像处理和分析的计算过程和适用性。

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来源
《International Conference on Signal Processing(ICSP'06); 20061116-20; Guilin(CN)》|2006年|P.2383-2386|共4页
会议地点 Guilin(CN)
作者
Igor Astrov; Svetlana Tatarly; Sergei Tatarly; Ennu Ruestern;
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Department of Computer Control, Tallinn University of Technology, Tallinn 19086, Estonia, EU;

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原文格式 PDF
正文语种 eng
中图分类通信理论;
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2. Novel Network Intrusion Detection System using Hybrid Neural Network (Hopfield and Kohonen SOM with Conscience Function) [J] . Wesam K. AL-Rashdan, Reyadh Naoum, Wafa S. Al_Sharafat, International journal of computer science and network security . 2010,第11期

机译：混合神经网络的新型网络入侵检测系统（具有良心功能的Hopfield和Kohonen SOM）
3. A Convolutional Neural Network Model Robust To Distorted Fingerprints [J] . Ogechukwu Iloanusi, Chimdalu Okide International Journal of Scientific & Technology Research . 2019,第7期

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4. Processing of Distorted Fingerprints with use of Three-Rate Hybrid Kohonen Neural Networks [C] . Igor Astrov, Svetlana Tatarly, Sergei Tatarly, International Conference on Signal Processing . 2006

机译：利用三速率杂交科隆神经网络处理扭曲指纹
5. Hybrid modeling (neural networks and first principles) of fermentation: Combining biochemical engineering fundamentals and process data. [D] . Kasprow, Robert Philip. 2000

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6. Hybrid Wireless Fingerprint Indoor Localization Method Based on a Convolutional Neural Network [O] . Zhenyu Liu, Bin Dai, Xiang Wan, 2019

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Processing of Distorted Fingerprints with use of Three-Rate Hybrid Kohonen Neural Networks

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