Texture Analysis by Deep Twin Networks for Paper Fraud Detection Ikiz Derin Aǧlarla Doku Analizi ile Evrak Sahteciliǧinin Tesbiti

Date

2022-01-01

Author

Ekiz, Ezgi
Şahin, Erol
Yarman Vural, Fatoş Tunay

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

101
views

0
downloads

This study proposes a method to distinguish fake documents from the originals using the textural structures of the papers they are printed on. The study is based on observations showing that paper textures are different and unique, just like fingerprint and iris tissue. This method, which captures the visually distinctive features of paper textures, can detect whether the documents of which the origin is suspected are fake or not. The proposed method can measure Type-2 error by training a Siamese network and thresholding the similarity results between two papers. Experimental results show that the proposed method has better distinguishing features than classical methods.

Subject Keywords

fingerprinting, hypothesis testing problem, paper, Siamese Networks, texture

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85138709078&origin=inward
https://hdl.handle.net/11511/101564

DOI

https://doi.org/10.1109/siu55565.2022.9864968

Conference Name

30th Signal Processing and Communications Applications Conference, SIU 2022

Collections

Department of Computer Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Free vibration analysis of uniform or tapered beams with transversely functionally graded materials Koçkaya, Okan; Utku, Mehmet; Sarıtaş, Afşin; Department of Civil Engineering (2018) There are several analysis techniques in the literature for structural members with functionally graded material (FGM). Solutions based on theory of elasticity are the most common. Finite element approach with plate, shell or solid elements is an alternative popular solution technique. Beam elements are being recently used in the finite element approach for this purpose. Displacement (DB) and force based (FB) elements are the two main choices in this regard: while the FB method is a more recent approach, DB...
Phase and TV Based Convex Sets for Blind Deconvolution of Microscopic Images Tofighi, Mohammad; Yorulmaz, Onur; Koese, Kivanc; Kahraman, Deniz Cansen; Atalay, Rengül; ÇETİN, AHMET ENİS (2016-02-01) In this paper, two closed and convex sets for blind deconvolution problem are proposed. Most blurring functions in microscopy are symmetric with respect to the origin. Therefore, they do not modify the phase of the Fourier transform (FT) of the original image. As a result blurred image and the original image have the same FT phase. Therefore, the set of images with a prescribed FT phase can be used as a constraint set in blind deconvolution problems. Another convex set that can be used during the image reco...
3D Correspondence by Breadth First Search Frontiers Sahillioğlu, Yusuf (null; 2009-06-01) This paper presents a novel, robust, and fast 3D shape correspondence algorithm applicable to the two snapshots of the same object in arbitrary deformation. Given two such frames as triangle meshes with fixed connectivity, our algorithm first classifies vertices into Breadth-First Search (BFS) frontiers according to their unweighted shortest path distance from a source vertex. This is followed by the rigid or non-rigid alignment of the corresponding frontiers of two meshes as the second and final step. This...
Optical character recognition for cursive handwriting Arica, N; Yarman Vural, Fatoş Tunay (2002-06-01) In this paper, a new analytic scheme, which uses a sequence of segmentation and recognition algorithms, is proposed for offline cursive handwriting recognition problem. First, some global parameters, such as slant angle, baselines, and stroke width and height are estimated. Second, a segmentation method finds character segmentation paths by combining gray scale and binary information. Third, Hidden Markov Model (HMM) is employed for shape recognition to label and rank the character candidates. For this purp...
Shrinkage compensation of holes via shrinkage of interior structure in FDM process Yaman, Ulaş (Springer Science and Business Media LLC, 2018-02-01) An interior design methodology to compensate for the shrinkage in the holes of artifacts fabricated with desktop 3D printers employing fused deposition modeling process is presented in this study. In the conventional way of compensating, the initial geometry is scaled according to the predictive and statistical models so that the critical dimensions will be more accurate when the part is cooled down. The proposed method employs a completely different paradigm. It constructs various interior structures to co...

Citation Formats

E. Ekiz, E. Şahin, and F. T. Yarman Vural, “Texture Analysis by Deep Twin Networks for Paper Fraud Detection Ikiz Derin Aǧlarla Doku Analizi ile Evrak Sahteciliǧinin Tesbiti,” presented at the 30th Signal Processing and Communications Applications Conference, SIU 2022, Safranbolu, Türkiye, 2022, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85138709078&origin=inward.