Handwriting identification and verification using artificial intelligence-assisted textural features. [PDF]
Sci Rep, 2023 Zhao H, Li H.
europepmc +1 more source
Robust Biometric (Offline Handwritten Signature) Watermarking and Authentication Algorithm [PDF]
, 2014 : In this paper a block based robust watermarking technique using wavelet transform has been presented which exploits human visual model for adapting the watermark data to local properties of the host image.
Rajesh Siddavatam, Meenakshi S Arya
core
Offline Handwritten Signature Verification Using Neural Network
, 2015 The different biometric techniques have been discussed for ident ification. Such as face reading,fingerprint recognition and retina scanning and these are known as vision based i dentification. There are non vision based identifications such as signature verification and the voice recogni tion.
Prof.B.T.Salokhe,, Ashish A.Malgave
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A Genetic Algorithm Based One Class Support Vector Machine Model for Arabic Skilled Forgery Signature Verification. [PDF]
J Imaging, 2023 Abdulhussien AA +3 more
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Online Handwritten Signature Verification Method Based on Uni-Feature Correlation Coefficient between Signatures. [PDF]
Sensors (Basel), 2023 Liu R, Xin Y.
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Recognition of Handwritten Medical Prescription Using Signature Verification Techniques. [PDF]
Comput Math Methods Med, 2022 Rani S +5 more
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Deep Learning Based Offline Handwritten Signature Recognition
Bitlis Eren Üniversitesi Fen Bilimleri DergisiIn our digitalized world, the need for reliable authentication methods is steadily increasing. Biometric authentication methods are divided into two main categories: physiological and behavioral. While physiological biometrics include features such as face, iris, and fingerprint, behavioral biometrics encompass dynamics such as gait, speech, and ...
Bahar Çiftçi, Ramazan Tekin
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Graph-Based Offline Signature Verification [PDF]
, 2019 Graphs provide a powerful representation formalism that offers great promise to benefit tasks like handwritten signature verification. While most state-of-the-art approaches to signature verification rely on fixed-size representations, graphs are ...
Fischer, Andreas +3 more
core +1 more source
Transfer learning based approach for reliable handwritten signature verification with SignaLearn
Discover Artificial IntelligenceHandwritten signatures are considered unique for a person’s identity and hence are used as a prevalent method of identification in banking, business, financial settings, legal documents, etc.
Himanshu Kumar Pathak +4 more
doaj +1 more source
Acoustic Sensing Based on Online Handwritten Signature Verification. [PDF]
Sensors (Basel), 2022 Chen M, Lin J, Zou Y, Wu K.
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