|
|
|
|
|
Karly S. Franz, Grace Reszetnik and Tom Chau
Brushstroke segmentation algorithms are critical in computer-based analysis of fine motor control via handwriting, drawing, or tracing tasks. Current segmentation approaches typically rely only on one type of feature, either spatial, temporal, kinematic,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yanxi Zhou, Shikai Zuo, Zhengxian Yang, Jinlong He, Jianwen Shi and Rui Zhang
Document image enhancement methods are often used to improve the accuracy and efficiency of automated document analysis and recognition tasks such as character recognition. These document images could be degraded or damaged for various reasons including ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hussein Abdel-Jaber, Disha Devassy, Azhar Al Salam, Lamya Hidaytallah and Malak EL-Amir
Deep learning uses artificial neural networks to recognize patterns and learn from them to make decisions. Deep learning is a type of machine learning that uses artificial neural networks to mimic the human brain. It uses machine learning methods such as...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nasima Begum, Md Azim Hossain Akash, Sayma Rahman, Jungpil Shin, Md Rashedul Islam and Md Ezharul Islam
Handwriting analysis is playing an important role in user authentication or online writer identification for more than a decade. It has a significant role in different applications such as e-security, signature biometrics, e-health, gesture analysis, dia...
ver más
|
|
|
|
|
|
|
|
|
|
|
Joseph M. Ackerson, Rushit Dave and Naeem Seliya
Recurrent Neural Networks are powerful machine learning frameworks that allow for data to be saved and referenced in a temporal sequence. This opens many new possibilities in fields such as handwriting analysis and speech recognition. This paper seeks to...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chang-Min Kim, Ellen J. Hong, Kyungyong Chung and Roy C. Park
Recently, demand for handwriting recognition, such as automation of mail sorting, license plate recognition, and electronic memo pads, has exponentially increased in various industrial fields. In addition, in the image recognition field, methods using ar...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gennaro Vessio
Studying the effects of neurodegeneration on handwriting has emerged as an interdisciplinary research topic and has attracted considerable interest from psychologists to neuroscientists and from physicians to computer scientists. The complexity of handwr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Donato Impedovo, Giuseppe Pirlo and Gennaro Vessio
Machine learning techniques are tailored to build intelligent systems to support clinicians at the point of care. In particular, they can complement standard clinical evaluations for the assessment of early signs and manifestations of Parkinson?s disease...
ver más
|
|
|
|
|
|