HANA: A handwritten name database for offline handwritten text recognition
Methods for linking individuals across historical data sets, typically in combination with AI based transcription models, are developing rapidly. Probably the single most important identifier for linking is personal names. However, personal names are prone to enumeration and transcription errors and although modern linking methods are designed to ...
Christian M. Dahl +3 more
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Convolutional neural network-based ensemble methods to recognize Bangla handwritten character [PDF]
In this era of advancements in deep learning, an autonomous system that recognizes handwritten characters and texts can be eventually integrated with the software to provide better user experience. Like other languages, Bangla handwritten text extraction
Mir Moynuddin Ahmed Shibly +3 more
doaj +2 more sources
Many heads but one brain: FusionBrain – a single multimodal multitask architecture and a competition
Supporting the current trend in the AI community, we present the AI Journey 2021 Challenge called FusionBrain, the first competition which is targeted to make a universal architecture which could process different modalities (in this case, images, texts,
D.D. Bakshandaeva +10 more
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San Josemaría Escrivá de Balaguer, “Palabras del Nuevo testamento, repetidas veces meditadas. Junio – 1933” / Saint Josemaría Escrivá, “Frequently Meditated Words from the New Testament. June – 1933” [PDF]
Eight-page document, handwritten by Saint Josemaría and headed with the inscription: “Frequently meditated words from the New Testament. June – 1933”. Contains a list of 112 texts from the New Testament with occasional short explanatory notes added. This
Francisco Varo
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In an era marked by the advent of advanced printing technology during the Northern Song period, the tradition of transcribing the Buddhist canon endured rather than promptly fading away.
Yuyu Zhang
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Authorial approach to the detection of selected psychological traits based on handwritten texts [PDF]
The study sought to use computer techniques to detect selected psychological traits based on the nature of the writing and to evaluate the effectiveness of the resulting software. Digital image processing and deep neural networks were used.
Marek Woda, Grzegorz Oliwa
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Handwritten Logic Circuits Analysis Using the YOLO Network and a New Boundary Tracking Algorithm
Handwriting analysis has been addressed by researchers for decades, and many advances were achieved in understanding handwritten texts so far. However, some applications have been rarely discussed.
Somaieh Amraee +3 more
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Verification of Psychodiagnostic Capabilities of Handwritten Texts
Introduction. The research paper contains a critical analysis of the graphological approach to the study of handwritten texts. The problem statement is justified by a special way of the formation of domestic psychology, which has been isolated for a long
Віталій Бочелюк +2 more
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A Self-recovery Digital Watermarking Approach for Tamper Detection of Handwritten and Printed Electronic Documents [PDF]
Objective: The aim of this study is to present a brief discussion of the digital image watermarking for texts in order to prove the documents authentication and copyright protection and to introduce a new method of digital watermarking of printed and ...
Azadeh Bastani, Esmaeel Fatemi Behbahani
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