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Relevant bibliographies by topics / FORENSICS HANDWRITTEN DOCUMENT ANALYSIS

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Journal articles

Academic literature on the topic 'FORENSICS HANDWRITTEN DOCUMENT ANALYSIS'

Author: Grafiati

Published: 11 March 2023

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Journal articles on the topic "FORENSICS HANDWRITTEN DOCUMENT ANALYSIS"

1

Krasiuk, Ihor. "SIGNATURES AND SHORT HANDWRITTEN NOTES AS OBJECTS OF EXPERT ANALYSIS." Criminalistics and Forensics, no. 67 (August 9, 2022): 427–38. http://dx.doi.org/10.33994/kndise.2022.67.44.

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A detailed scientific analysis of the signature and short handwritten notes as objects of expert research has been carried out. The essence and understanding of the object of judicial handwriting examination are determined. The etymology of the terms “document”, “signature”, “short handwritten note” is investigated, the components of the object of forensic handwriting examination are established, on the basis of which the definition of the object of forensic handwriting examination is formulated as a collective concept that includes phenomena, processes and events of objective reality related

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2

Mohammed, Twana Latif, and Ahmed Abdullah Ahmed. "Offline Writer Recognition for Kurdish Handwritten Text Document Based on Proposed Codebook." UHD Journal of Science and Technology 5, no. 1 (2021): 21–27. http://dx.doi.org/10.21928/uhdjst.v5n2y2021.pp21-27.

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Handwritten text recognition has been an ongoing attractive task to research in the field of document analysis and recognition with applications in handwriting forensics, paleography, document examination, and handwriting recognition. In the present research, an automatic method of writer recognition is presented using digitized images of unconstrained texts. Despite the increasing efforts by prior literature on the different methods used for the same purpose, such methods performance, particularly their accuracy, has not been promising, leaving plenty of room for improvements. This method mad

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3

Khan, Majid A., Nazeeruddin Mohammad, Ghassen Ben Brahim, Abul Bashar, and Ghazanfar Latif. "Writer verification of partially damaged handwritten Arabic documents based on individual character shapes." PeerJ Computer Science 8 (April 20, 2022): e955. http://dx.doi.org/10.7717/peerj-cs.955.

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Author verification of handwritten text is required in several application domains and has drawn a lot of attention within the research community due to its importance. Though, several approaches have been proposed for the text-independent writer verification of handwritten text, none of these have addressed the problem domain where author verification is sought based on partially-damaged handwritten documents (e.g., during forensic analysis). In this paper, we propose an approach for offline text-independent writer verification of handwritten Arabic text based on individual character shapes (

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4

Islam, Ammad Ul, Muhammad Jaleed Khan, Muhammad Asad, Haris Ahmad Khan, and Khurram Khurshid. "iVision HHID: Handwritten hyperspectral images dataset for benchmarking hyperspectral imaging-based document forensic analysis." Data in Brief 41 (April 2022): 107964. http://dx.doi.org/10.1016/j.dib.2022.107964.

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5

Pichugin, S. A. "On the issue of new forensic methods for establishing the limitation period for the execution of document details." Courier of Kutafin Moscow State Law University (MSAL)), no. 2 (May 17, 2021): 140–46. http://dx.doi.org/10.17803/2311-5998.2021.78.2.140-146.

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The author critically examines the original forensic technique of “copying fragments of signature strokes (handwritten records) moistened with a system of solvents”. The provisions of this method contain the statement that the color of the coloring substance can be reliably determined when the studied document details were performed. The expert determines the categories of color shades visually (by eye). The comparative stage of the expert study is based on comparing the color of the dye used to make the document under study with the color scheme of the dye details of a similar method of execu

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6

Hasan, Md Al Mehedi, Jungpil Shin, and Md Maniruzzaman. "Online Kanji Characters Based Writer Identification Using Sequential Forward Floating Selection and Support Vector Machine." Applied Sciences 12, no. 20 (2022): 10249. http://dx.doi.org/10.3390/app122010249.

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Writer identification has become a hot research topic in the fields of pattern recognition, forensic document analysis, the criminal justice system, etc. The goal of this research is to propose an efficient approach for writer identification based on online handwritten Kanji characters. We collected 47,520 samples from 33 people who wrote 72 online handwritten-based Kanji characters 20 times. We extracted features from the handwriting data and proposed a support vector machine (SVM)-based classifier for writer identification. We also conducted experiments to see how the accuracy changes with f

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7

Hora, I. V., and I. I. Popovych. "Comprehensive study of objects of judicial and technical examination of documents in solving issues regarding the establishment of their making." Uzhhorod National University Herald. Series: Law, no. 63 (August 9, 2021): 288–92. http://dx.doi.org/10.24144/2307-3322.2021.63.50.

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The article is devoted to the analysis of the essence of integrated research during the judicial and technical expertise to establish the prostitution of documents. The attention is drawn to the fact that the forensic examination with the establishment of the preparation of documents is the most difficult among other species of this kind of examinations and to be complex. The authors consider the peculiarities of this type of expertise and emphasizes that such examinations have difficulty in carrying out the use of special equipment and physicochemical research methods. The paths of determinin

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8

Rabaev, Irina, Izadeen Alkoran, Odai Wattad, and Marina Litvak. "Automatic Gender and Age Classification from Offline Handwriting with Bilinear ResNet." Sensors 22, no. 24 (2022): 9650. http://dx.doi.org/10.3390/s22249650.

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This work focuses on automatic gender and age prediction tasks from handwritten documents. This problem is of interest in a variety of fields, such as historical document analysis and forensic investigations. The challenge for automatic gender and age classification can be demonstrated by the relatively low performances of the existing methods. In addition, despite the success of CNN for gender classification, deep neural networks were never applied for age classification. The published works in this area mostly concentrate on English and Arabic languages. In addition to Arabic and English, th

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9

B.M, Adeyemi, Olaoye O.J, Uchehara C.C, Akinola O.M, and Sunmola F.O. "Adoption of Off-Line Signature Verification and Forgery Detection System Using Additive Fuzzy and TS Modelling Technique in Financial Auditing and Forensics Investigation." International Journal of Computer Science and Mobile Computing 10, no. 6 (2021): 38–59. http://dx.doi.org/10.47760/ijcsmc.2021.v10i06.004.

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This paper presents a robust signature verification and forgery detection system using Additive fuzzy and TS modeling technique. The features of various handwritten signatures are sampled with proper analysis and encapsulated to devise an effective verification system. Grid method was used to extract features angles for detection of forgeries and verification of genuine signatures. In financial Accounting, Auditing and Forensic Investigation, signature forgery could occur in various ways. This could be carried out on papers, sales documents such as invoices or inventory procurement requisition

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10

Guarnera, Luca, Giovanni Maria Farinella, Antonino Furnari, et al. "Forensic analysis of handwritten documents with GRAPHJ." Journal of Electronic Imaging 27, no. 05 (2018): 1. http://dx.doi.org/10.1117/1.jei.27.5.051230.

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