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High discriminant features for writer-independent online signature verification
The application of online signature is promising. However, its huge intra-individual variability and its extremely low inter-class distance brought...
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Multi-scripted Writer Independent Off-line Signature Verification using Convolutional Neural Network
Signature is a biometrics trait widely used for personal verification in financial and most other organizations where financial and relevant types of...
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Offline Text-Independent Writer Identification Using Local Black Pattern Histograms
The problem of authenticating a writer from his/her writing samples has been the most important and prevalent one subject of active research in the...
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An effective DeepWINet CNN model for off-line text-independent writer identification
Writer identification based on handwriting recognition is considered one of the most common research areas in pattern recognition and biometrics. It...
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Multi-scale residual based siamese neural network for writer-independent online signature verification
How to extract effective features from a small number of signature samples provided by new registered users and achieve high accuracy authentication...
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WriterINet: a multi-path deep CNN for offline text-independent writer identification
Handwriting-based identification is a fundamental pattern recognition problem that has attracted considerable interest in recent years. Writer...
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Exploiting Multi-scale Fusion, Spatial Attention and Patch Interaction Techniques for Text-Independent Writer Identification
Text independent writer identification is a challenging problem that differentiates between different handwriting styles to decide the author of the...
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A Metric Learning Approach for Offline Writer Independent Signature Verification
AbstractAn efficient offline system for writer independent signature verification is proposed in this work which is quite a difficult task in...
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SigVer—A Deep Learning Based Writer Independent Bangla Signature Verification System
Handwritten signature is one of the most popular biometric traits which have been addressed by researchers since the last few decades. Scientists...
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Writer-independent signature verification based on feature extraction fusion
In this work, with the aim of separating the genuine and forgery samples of the signature, we developed an automatic handwritten signature...
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A Multi-patch Deep Learning System for Text-Independent Writer Identification
Offline handwriting identification is widely used in many fields of modern society, such as judicial authentication, identity verification, ancient...
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Writer verification using directional morphological features and Markov chains
Much of the information about the writer’s style lies in the directionality of the lines that make up the letters of a word. This information, in...
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Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens
Handwriting is one of the most frequently occurring patterns in everyday life and with it comes challenging applications such as handwriting...
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Towards Writing Style Adaptation in Handwriting Recognition
One of the challenges of handwriting recognition is to transcribe a large number of vastly different writing styles. State-of-the-art approaches do...
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Attention-based multiple siamese networks with primary representation guiding for offline signature verification
In the area of biometrics and document forensics, handwritten signatures are one of the most commonly accepted symbols. Thus, financial and...
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Fine-Tuning is a Surprisingly Effective Domain Adaptation Baseline in Handwriting Recognition
In many machine learning tasks, a large general dataset and a small specialized dataset are available. In such situations, various domain adaptation...
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Domain and writer adaptation of offline Arabic handwriting recognition using deep neural networks
Arabic Handwritten Text Recognition (AHTR) based on deep learning approaches remains a challenging problem due to the inevitable domain shift like...
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Deep bidirectional long short-term memory for online multilingual writer identification based on an extended Beta-elliptic model and fuzzy elementary perceptual codes
The development of pattern recognition and artificial intelligence domains owes the writer identification challenge greatly. In fact, writer...
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A method for automatic classification of gender based on text- independent handwriting
Handwriting recognition is used for the prediction of various demographic traits such as age, gender, nationality, etc. Out of all the applications...
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Writer identification using redundant writing patterns and dual-factor analysis of variance
Writer identification (WI) is a typical pattern recognition problem with the goal of recognizing the writer of a text from images of his or her...
