[HTML][HTML] Automated bank cheque verification using image processing and deep learning methods
Automated bank cheque verification using image processing is an attempt to complement
the present cheque truncation system, as well as to provide an alternate methodology for the …
the present cheque truncation system, as well as to provide an alternate methodology for the …
A review of image features extraction techniques and their applications in image forensic
D Kumar, RC Pandey, AK Mishra - Multimedia Tools and Applications, 2024 - Springer
In these modern days, digital images become prominent information on the Internet and
Social Media. The images can have a number of features with many secrets. To get these …
Social Media. The images can have a number of features with many secrets. To get these …
[HTML][HTML] An effective and improved CNN-ELM classifier for handwritten digits recognition and classification
Optical character recognition is gaining immense importance in the domain of deep
learning. With each passing day, handwritten digits (0–9) data are increasing rapidly, and …
learning. With each passing day, handwritten digits (0–9) data are increasing rapidly, and …
Cyber-physical customer management for Internet of robotic things-enabled banking
M Hajiabbasi, E Akhtarkavan, B Majidi - IEEE Access, 2023 - ieeexplore.ieee.org
In-person banking is still an important part of financial services around the world. Hybrid
bank branches with service robots can improve efficiency and reduce operating costs. An …
bank branches with service robots can improve efficiency and reduce operating costs. An …
Automatic fake document identification and localization using DE-Net and color-based features of foreign inks
Document examination is a vital mission for revealing illegal modifications that assist in the
detection and resolution of criminal acts. Addition and alteration are more frequently used in …
detection and resolution of criminal acts. Addition and alteration are more frequently used in …
Quantitative assessment of capabilities of colour models for pen ink discrimination in handwritten documents
The addition of new words in handwritten documents such as bank cheques, bills, and notes
is considered as common crime. Such immoral activities on handwritten documents have a …
is considered as common crime. Such immoral activities on handwritten documents have a …
Pen ink discrimination in handwritten documents using statistical and motif texture analysis: A classification based approach
Pen ink analysis is an essential step for establishing the integrity of a handwritten document.
Traditional approaches for analyzing the ink are based on destructive techniques like thin …
Traditional approaches for analyzing the ink are based on destructive techniques like thin …
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 …
At times, this may result in financial and mental loss to an individual or an organization …
Detection of handwritten document forgery by analyzing writers' handwritings
Since digitization is yet to be adopted globally, handwritten documents are still in use in
many places. Handwritten documents are prone to get forged thanks to acts like the …
many places. Handwritten documents are prone to get forged thanks to acts like the …
Ink analysis based forensic investigation of handwritten legal documents
Document falsification is among the fastest growing problems all over the world. Disclosure
of such document is not always possible due to the conspiracy of attorney bodies; especially …
of such document is not always possible due to the conspiracy of attorney bodies; especially …