Results 51 to 60 of about 57,588 (195)
Unsupervised Adaptation for Synthetic-to-Real Handwritten Word Recognition
, 2020 Handwritten Text Recognition (HTR) is still a challenging problem because it must deal with two important difficulties: the variability among writing styles, and the scarcity of labelled data.
Fornés, Alicia +4 more
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Use of colour for hand-filled form analysis and recognition [PDF]
, 2005 Colour information in form analysis is currently under utilised. As technology has advanced and computing costs have reduced, the processing of forms in colour has now become practicable.
Allen, T, Sherkat, N, Wong, WS
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PLoS ONE, 2018 ObjectiveTo describe handwriting and executive control features and their inter-relationships among children with developmental dysgraphia, in comparison to controls.MethodParticipants included 64 children, aged 10-12 years, 32 with dysgraphia based on ...
Sara Rosenblum
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IEEE Access, 2019 The handwriting of a person may vary substantially with factors, such as mood, time, space, writing speed, writing medium/tool, writing a topic, and so on. It becomes challenging to perform automated writer verification/identification on a particular set
Chandranath Adak +2 more
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UTSig: A Persian Offline Signature Dataset
, 2016 The pivotal role of datasets in signature verification systems motivates researchers to collect signature samples. Distinct characteristics of Persian signature demands for richer and culture-dependent offline signature datasets.
Araabi, Babak N. +2 more
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Hybrid DL-ML Framework for Handwriting-Based Person Recognition
NTU Journal of Engineering and TechnologyThis work proposes an efficient handwriting-person-based identification scheme amalgamating deep learning and regular machine learning classifiers. 6,955 fine-quality Arabic handwriting samples were gathered from 107 users.
Nabaa Alsamak, Maysaloon Abed Qasim
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Personal identification based on handwriting
Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), 2000 Abstract Many techniques have been reported for handwriting-based writer identification. The majority of techniques assume that the written text is fixed (e.g., in signature verification). In this paper we attempt to eliminate this assumption by presenting a novel algorithm for automatic text-independent writer identification.
H.E.S. Said, T.N. Tan, K.D. Baker
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Determining the Personal identity based on Handwriting as a Biometric identification [PDF]
, 2014 This paper describes methods for off-line identification of the writer based on handwriting features. Different methods for extracting and combining features are reported in the literature for pattern recognition purposes.
Klekovska, Mimoza +1 more
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THE DEVELOPMENT OF FORENSIC IDENTIFICATION IN FORENSIC HANDWRITING EXAMINATION
Теория и практика судебной экспертизы, 2015 The report provides a brief historical background about the development of forensic identification in forensic handwriting examination. Given the merits of V. J. Caldina in the theory of forensic Sciences, as well as other scientists, including V.
E. N. Belova
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Relationship between Handwriting and Visual-Motor Integration in Primary School
Psicología Educativa: Revista de los Psicólogos de la EducaciónIntroduction: School-based literacy development involves the acquisition of complex cognitive and motor skills, among which handwriting plays a central role.
Mariana Diez, Ramón Álvarez-Vaz
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