Generation of Synthetic Data for Handwritten Word Alteration Detection

Generation of Synthetic Data for Handwritten Word Alteration Detection

Fraudsters often alter handwritten contents in a document in order to achieve illicit purposes. At times, this may result in financial and mental loss to an individual or an organization. Hence, ink analysis is necessary to identify such an alteration. Convolution Neural Network (CNN) can be used to...

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Bibliographic Details
Main Authors: Prabhat Dansena, Soumen Bag, Rajarshi Pal
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Convolution neural network
document forensics
handwritten
ink analysis
synthetic data
Online Access:https://ieeexplore.ieee.org/document/9354159/

Internet

https://ieeexplore.ieee.org/document/9354159/

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