Chebyshev-Harmonic-Fourier-Moments and Deep CNNs for Detecting Forged Handwriting
Recently developed sophisticated image processing techniques and tools have made easier the creation of high-quality forgeries of handwritten documents including financial and property records. To detect such forgeries of handwritten documents, this paper presents a new method by exploring the combi...
Saved in:
Main Authors: | Nandanwar, Lokesh, Shivakumara, Palaiahnakote, Kundu, Sayani, Pal, Umapada, Lu, Tong, Lopresti, Daniel |
---|---|
Format: | Conference or Workshop Item |
Published: |
2021
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/26311/ https://doi.org/10.1109/ICPR48806.2021.9412179 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
DCT-phase statistics for forged IMEI numbers and air ticket detection
by: Nandanwar, Lokesh, et al.
Published: (2021) -
A new method for detecting altered text in document images
by: Nandanwar, Lokesh, et al.
Published: (2021) -
A new hybrid method for caption and scene text classification in action video images
by: Nandanwar, Lokesh, et al.
Published: (2021) -
Writer age estimation through handwriting
by: Huang, Zhiheng, et al.
Published: (2023) -
Local resultant gradient vector difference and inpainting for 3D text detection in the wild
by: Zhong, Dajian, et al.
Published: (2022)