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Handwriting identification is widely accepted as scientific evidence. However, its authenticity is questioned because it depends on the appraiser's professional skills and susceptibility to deliberate false identification by expert witnesses ...
Weiqiang Zhang +9 more
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Handwriting identification: Challenges and solutions
As a historic technology, handwriting identification, especially that of Chinese characters, plays an important role in judicial trials both in domestic and abroad. However, in recent decades, handwriting identification has faced a challenging situation;
Liu Xiaohong, Lian Yuanyuan
doaj +4 more sources
Research on subjective bias cognition effect in handwriting identification
This article starts from the point of view that handwriting examination is dependent on empiricism and by analyzing the core steps of handwriting identification explains that it might be influenced by subjective bias.
Bing Li, Tiantian Ma
doaj +3 more sources
Text-Dependent Writer Identification for Arabic Handwriting [PDF]
This paper proposes a system for text-dependent writer identification based on Arabic handwriting. First, a database of words was assembled and used as a test base. Next, features vectors were extracted from writers' word images.
Somaya Al-Maadeed
doaj +5 more sources
Handwriting identification and verification using artificial intelligence-assisted textural features. [PDF]
Intelligent process control and automation systems require verification authentication through digital or handwritten signatures. Digital copies of handwritten signatures have different pixel intensities and spatial variations due to the factors of the ...
Zhao H, Li H.
europepmc +2 more sources
Offline Mongolian Handwriting Identification Based on Convolutional Neural Network
Handwriting is a biometric behavioral characteristic with evident individual distinctiveness. With the rise of the deep learning trend and demands for forensic identification, handwriting identification has become one of the focal points of research in ...
Yuxin Sun +4 more
semanticscholar +2 more sources
Personal identification based on handwriting
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.
T N Tan, K D Baker
exaly +2 more sources
Handwriting identification using deep convolutional neural network method
Handwriting is a unique thing that produced differently for each person. Handwriting has a characteristic that remain the same with single writer, so a handwriting can be used as a variable in biometric systems.
Oka Sudana +2 more
semanticscholar +3 more sources
Non-invasive optical micro-identification of ink verification in pen ink handwriting
Handwriting verification represents an important area in forensic science. Herein, handwritings based on different types and brands pen ink samples made in China were investigated by non-invasive micro-identification methods. Scanning electron microscopy
Jigang Wang +7 more
doaj +3 more sources
A Comparison of the Identifying Features of Imitated Handwriting and Elderly Handwriting
Imitated handwriting and elderly handwriting are two manifestation patterns of altered handwriting. Several similarities in features can be found in both, such as gentle movement and curved jitter. In practice, it is very easy to confuse the two patterns,
Jing Wang
doaj +2 more sources

