Methods and Processors for Image Recognition in a Linear and Quadratic Hamming Space

被引：0

作者：

Sydor, Andrij ^{[1
]}

Nykolaychuk, Yaroslav ^{[1
]}

Vozna, Nataliia ^{[1
]}

Krulikovskyi, Boris ^{[2
]}

Davletova, Alina ^{[1
]}

Liura, Oleh ^{[3
]}

机构：

[1] Ternopil Natl Eon Univ, Dept Specialized Comp Syst, Ternopol, Ukraine

[2] Natl Univ Water & Environm, Dept Comp Sci, Rivne, Ukraine

[3] Ivano Frankivsk Natl Tech Univ Oil & Gas, Dept Comp Syst & Networks, Ivano Frankivsk, Ukraine

来源：

2019 IEEE 15TH INTERNATIONAL CONFERENCE ON THE EXPERIENCE OF DESIGNING AND APPLICATION OF CAD SYSTEMS (CADSM'2019) | 2019年

关键词：

image recognition; special-purpose processor; Hamming distance;

D O I：

10.1109/cadsm.2019.8779291

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Image recognition is one of the challenges facing various industries. Image recognition methods based on Euclidean and Hamming distance estimates are the most algorithmically simple and efficient. The paper proposes methods for recognition of analog and digital signals due to the linear and quadratic Euclidean distances in the Hamming space, which are characterized by simplified algorithms and reduced computational complexity. Special-purpose processors for image recognition are designed on the basis of the Hamming distance estimates and structurally optimized components.

引用

页数：4

共 7 条

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[2]

Hamming R. V., 1983, RADIO COMMUNICATION

[3]

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[4]

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