Fraud detection of power meter reading using image matching with inception v3 convolutional neural network
Corruption occurs everywhere, and even meter readers can be corrupted. One of the examples is the consumer that is unwilling to pay utility bill will collude with meter reader to manipulate the meter reading for the utilities. For preventing such a thing from happening the utilities company had intr...
Saved in:
Main Author: | Gan, Teck Cheong |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/93095/1/GanTeckCheongMSKE2020.pdf http://eprints.utm.my/id/eprint/93095/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:135913 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Offline signature verification using deep learning convolutional neural network (CNN) architectures googlenet inception-v1 and inception-v3
by: Jahandad, Jahandad, et al.
Published: (2019) -
Thermal-based early breast cancer detection using inception V3,
inception V4 and modified inception MV4
by: Al Husaini, Mohammed Abdulla Salim, et al.
Published: (2021) -
Development of image recognition system for analogue meter’s reading detection
by: Chong, Yue Jiet
Published: (2022) -
Matching fingerprint images for biometric authentication using convolutional neural networks
by: Najih, Abdulmawla, et al.
Published: (2019) -
A Convolutional Neural Network model for Credit Card Fraud detection
by: Gambo, Muhammad Liman, et al.
Published: (2022)