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Sharp Intros 4 New Interactive Displays in the Aquos Board Line -- THE Journal

Sharp Imaging and Information and Sharp NEC Display Solutions have released a new series of interactive displays in the Aquos Board line, the 4W-B series, in four sizes for collaboration and communication anywhere through a 20-contact-point multi-touch system and adaptable connectivity. ....

United States , Gary Bailer , Kate Lucariello , Information Company Of America , Interactive Displays , Aquos Board , Sharp Pen , Information Company , Interactive Displays , Quos Board Line , Wb Series , Ulti Touch System , Sharp Pen Software , Handwriting Recognition , Whiteboard Mode , Overlay Mode , Lare Resistance , Atural Writing Flow , Tml 5 Browser App , Public Mode ,

Sharp Debuts 4 New Interactive Displays in Aquos Board Line -- Campus Technology

Sharp has released a new series of interactive displays in its Aquos Board line, the 4W-B series, in four sizes for collaboration and communication anywhere through a 20-contact-point multi-touch system and adaptable connectivity. ....

Gary Bailer , Kate Lucariello , Interactive Displays , Aquos Board , Sharp Pen , Interactive Displays , Quos Board Line , Wb Series , Ulti Touch System , Sharp Pen Software , Handwriting Recognition , Whiteboard Mode , Overlay Mode , Lare Resistance , Atural Writing Flow , Tml 5 Browser App , Public Mode ,

"Handwritten Font Classification Method Based on Ghost Imaging" by Ruyu Yan, Xiaoxia Wang et al.

With the rapid development of the economy, financial services such as bills are also increasing day by day. Among them, the important information in the bill business, such as personal vouchers, checks, and other bills, requires manual reading and input of a large amount of digital information. In order to avoid the waste of human and financial resources, related researchers classify and recognize handwritten fonts based on the neural network classification idea of ​​deep learning. When the method based on deep learning is used for feature extraction of handwritten fonts, there is often a lack of detailed information such as edges and textures, which leads to the problem of low recognition accuracy. Aiming at the problem that the features of handwritten digits or letters are difficult to effectively extract, the recognition efficiency was not high and even caused recognition errors, a new automatic recognition method of handwritten digits or letters was propos ....

Accuracy Rate , Convolutional Neural Network , Ghost Imaging , Handwriting Recognition ,