Siamese neural networks: An overview
D Chicco - Artificial neural networks, 2021 - Springer
Similarity has always been a key aspect in computer science and statistics. Any time two
element vectors are compared, many different similarity approaches can be used …
element vectors are compared, many different similarity approaches can be used …
Deep learning for biometrics: A survey
K Sundararajan, DL Woodard - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
In the recent past, deep learning methods have demonstrated remarkable success for
supervised learning tasks in multiple domains including computer vision, natural language …
supervised learning tasks in multiple domains including computer vision, natural language …
Visualphishnet: Zero-day phishing website detection by visual similarity
Phishing websites are still a major threat in today's Internet ecosystem. Despite numerous
previous efforts, similarity-based detection methods do not offer sufficient protection for the …
previous efforts, similarity-based detection methods do not offer sufficient protection for the …
CBCapsNet: A novel writer-independent offline signature verification model using a CNN-based architecture and capsule neural networks
Offline Signature verification is a biometric method with important applications in financial,
legal and administrative procedures. The verification process includes comparing the …
legal and administrative procedures. The verification process includes comparing the …
Offline signature verification using a region based deep metric learning network
L Liu, L Huang, F Yin, Y Chen - Pattern Recognition, 2021 - Elsevier
Handwritten signature verification is a widely used biometric for person identity
authentication in document forensics. Despite the tremendous efforts in past research, offline …
authentication in document forensics. Despite the tremendous efforts in past research, offline …
Offline signature verification using deep neural network with application to computer vision
Biometric technologies, such as handwritten signature verification, are extremely useful for
identifying individuals inside an organization or finance department. The improvement of …
identifying individuals inside an organization or finance department. The improvement of …
Siamese convolutional neural network-based twin structure model for independent offline signature verification
One of the toughest biometrics and document forensics problems is confirming a signature's
authenticity and legal identity. A forgery may vary from a genuine signature by specific …
authenticity and legal identity. A forgery may vary from a genuine signature by specific …
A new wrapper feature selection method for language-invariant offline signature verification
D Banerjee, B Chatterjee, P Bhowal… - Expert Systems with …, 2021 - Elsevier
Among various biometric systems, an offline signature verification system has been widely
used in all fields such as in banks, educational institutes, legal procedures and, criminal …
used in all fields such as in banks, educational institutes, legal procedures and, criminal …
Deep learning in diverse intelligent sensor based systems
Deep learning has become a predominant method for solving data analysis problems in
virtually all fields of science and engineering. The increasing complexity and the large …
virtually all fields of science and engineering. The increasing complexity and the large …
2C2S: A two-channel and two-stream transformer based framework for offline signature verification
JX Ren, YJ Xiong, H Zhan, B Huang - Engineering Applications of Artificial …, 2023 - Elsevier
Recently, with the outstanding performance of the transformer in NLP, approaches that
employ the transformer to address vision problem is becoming a research focus. However …
employ the transformer to address vision problem is becoming a research focus. However …