arXiv:1708.06126
e-Counterfeit: a mobile-server platform for document counterfeit detection
원문 초록
This paper presents a novel application to detect counterfeit identity documents forged by a scan-printing operation. Texture analysis approaches are proposed to extract validation features from security background that is usually printed in documents as IDs or banknotes. The main contribution of this work is the end-to-end mobile-server architecture, which provides a service for non-expert users and therefore can be used in several scenarios. The system also provides a crowdsourcing mode so labeled images can be gathered, generating databases for incremental training of the algorithms.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Quantitative Measures for Passive Sonar Texture Analysis
VORTEX: Challenging CNNs at Texture Recognition by using Vision Transformers with Orderless and Randomized Token Encodings
GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image Segmentation
Lacunarity Pooling Layers for Plant Image Classification using Texture Analysis
TexTile: A Differentiable Metric for Texture Tileability
RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation Maps
토론
이 논문과 연결된 포럼 글이 아직 없습니다.