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Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey
Handwriting recognition has become an active area of research in pattern recognition and machine learning in recent years. Handwriting recognition...
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CNN-based Methods for Offline Arabic Handwriting Recognition: A Review
Arabic Handwriting Recognition (AHR) is a complex task involving the transformation of handwritten Arabic text from image format into...
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Character spotting and autonomous tagging: offline handwriting recognition for Bangla, Korean and other alphabetic scripts
This paper demonstrates a framework for offline handwriting recognition using character spotting and autonomous tagging which works for any...
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New MDLSTM-based designs with data augmentation for offline Arabic handwriting recognition
Although deep learning techniques have achieved promising results in several fields including healthcare, monitoring, and smart cities, their...
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Novel ALBP and OLBP features for gender prediction from offline handwriting
Determining gender using offline handwriting is an applied research problem in forensics, psychology and security applications. This task becomes...
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Explainable offline automatic signature verifier to support forensic handwriting examiners
Signature verification is a critical task in many applications, including forensic science, legal judgments, and financial markets. However, current...
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Data Augmentation for Offline Handwritten Text Recognition: A Systematic Literature Review
Offline Handwritten Text Recognition (HTR) systems concern the automatic recognition and transcription of handwritten text from scanned images to...
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A self-attention-based deep architecture for online handwriting recognition
The self-attention mechanism has been the most frequent and efficient way for processing and learning sequences in numerous domains of artificial...
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Study’s system: a three-stage system for children handwriting recognition and spelling error detection
In this paper, we present the first version of Study’s system, a system that modernizes learning to spell based on dictation for elementary school...
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Importance and challenges of handwriting recognition with the implementation of machine learning techniques: a survey
AbstractAncient manuscripts store historical, literary, cultural, and geographical information. Therefore, the automatic analysis of manuscripts is...
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Handwriting quality analysis using online-offline models
This work is part of an innovative e-learning project allowing the development of an advanced digital educational tool that provides feedback during...
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Multimodal Dependence Attention and Large-Scale Data Based Offline Handwritten Formula Recognition
Offline handwritten formula recognition is a challenging task due to the variety of handwritten symbols and two-dimensional formula structures....
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Multi-lingual handwriting recovery framework based on convolutional denoising autoencoder with attention model
For several decades, no satisfactory solutions have been provided to the problem of offline handwriting recognition. In the field of online...
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A transformer-based approach for Arabic offline handwritten text recognition
Handwriting recognition is a challenging and critical problem in the fields of pattern recognition and machine learning, with applications spanning a...
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VGG16: Offline handwritten devanagari word recognition using transfer learning
Word recognition has garnered significant attention due to its wide-ranging real-time applications, including postal automation, signature...
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Offline Handwritten Devanagari Word Recognition Using CNN-RNN-CTC
Handwriting recognition is always a challenging task as it depends on the writing style of the writer; similarity among character sets of the script;...
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Refocus attention span networks for handwriting line recognition
Recurrent neural networks have achieved outstanding recognition performance for handwriting identification despite the enormous variety observed...
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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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Review of age and gender detection methods based on handwriting analysis
Handwriting recognition and analysis has been an active area of research in the last two decades. Handwriting analysis is being studied in various...
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Novelty in Handwriting Recognition
In the domain of Handwriting Recognition (HWR), many novelties may be encountered and can negatively affect the performance of automatic...