Verifying on-line handwritten signature using neural networks approach
Signatures are used everyday to authorize the transfer of funds for bank cheques, credit cards, legal documents and others. Forgeries on banking and business transactions amount to a large sum of money every year. Although the cashier sometimes can spot the forgeries, it is not cost effective to che...
Main Authors: | Siraj, Fadzilah, Zakaria, Azizi, Wan Ishak, Wan Hussain |
---|---|
Other Authors: | Mohamed Hanefah, Hajah Mustafa |
Format: | Book Section |
Language: | English |
Published: |
Pusat Penyelidikan dan Perundingan, Universiti Utara Malaysia
2000
|
Subjects: | |
Online Access: | https://repo.uum.edu.my/id/eprint/2284/1/FADZILLAH_SIRAJ_%282001%29_01.pdf |
Similar Items
Similar Items
-
Neural network in handwritten recognition system: A survey
by: Wan Ishak, Wan Hussain, et al.
Published: (2003) -
Handwritten character recognition using convolutional neural network
by: Khandokar, I., et al.
Published: (2021) -
Enhancement of parallel thinning algorithm for handwritten characters using neural network
by: Engkamat, Adeline
Published: (2005) -
WEBIC: a web based business insolvency classifier using neural networks
by: Siraj, Fadzilah, et al.
Published: (2003) -
Neural network in medical prognosis
by: Wan Ishak, Wan Hussain, et al.
Published: (2001)