This article presents PAPRICA-3, a high-speed 32-neurons slice for real-time neural processing of images. The system is a programmable parallel processor array with the instruction set tailored to the emulation of neural networks and to image processing. Dedicated hardware features allow simultaneous image acquisition, image processing and neural network emulation. The 32-neurons slice is casca...

Background: Handwriting problems are one of the common problems among students in the early years of education. The current study aimed to determine further validation aspects of the Persian Handwriting Assessment Tool (PHAT) in primary school-aged children.Methods: The current methodological study was conducted on 452 healthy 8-10-year-old students in Tehran, Iran, selected via random cl...

Abstract Handwriting is a complex perceptual–motor skill that mastered around the age of 8. Although its computerized analysis has been utilized in many biometric and digital health applications, possible effect gender frequently neglected. The aim this paper to analyze different online handwritten tasks performed by intact subjects explore differences commonly used temporal, kinematic, dynamic...

This article presents PAPRICA-3, a VLSI-oriented architecture for real-time processing of images and its implementation on HACRE, a high-speed, cascadable, 32-processors VLSI slice. The architecture is based on an array of programmable processing elements with the instruction set tailored to image processing, mathematical morphology, and neural networks emulation. Dedicated hardware features al...

Speed, accuracy, and exibility are crucial to the practical use of on-line handwriting recognition. Besides, extensibility is also an important concern as we move from one domain to another which requires the character set to be extended. In this paper, we will propose a simple yet robust structural approach for recognizing on-line handwriting. Our approach is designed to achieve reasonable spe...

Speed, accuracy, and #exibility are crucial to the practical use of on-line handwriting recognition. Besides, extensibility is also an important concern as we move from one domain to another which requires the character set to be extended. In this paper, we will propose a simple yet robust structural approach for recognizing on-line handwriting. Our approach is designed to achieve reasonable sp...

Principal components analysis is a well-known statistical method in dealing with large dependent data sets. It is also used in functional data for both purposes of data reduction as well as variation representation. On the other hand "handwriting" is one of the objects, studied in various statistical fields like pattern recognition and shape analysis. Considering time as the argument,...

Handwriting Recognition Technology has been improving much under the purview of pattern recognition and image processing since a few decades. This paper focuses on the comprehensive survey on on-line handwriting recognition system along with the real application by taking Nepali natural handwriting (a real example of one of the cursive handwritings). The survey mainly includes pre-processing, f...