Results 101 to 110 of about 41,003,736 (265)
ICFHR2016 Competition on Handwritten Text Recognition on the READ Dataset [PDF]
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Toselli, Alejandro Héctor +7 more
core +1 more source
Critical Thinking Emulation Model With Outcomes‐Based Assessment
ABSTRACT Background/Purpose Gaps exist between critical thinking importance and an organized agenda for the development of critical thinking learning outcomes. Multiple critical thinking skill sets were developed by the authors, forming a symbiotic network.
David C Johnsen +13 more
wiley +1 more source
Interleaved Diffractive Networks for Information Transfer Through Random Diffusers
This work presents a cascaded diffractive optical network that enables information transfer through random, unknown diffusers using passive, interleaved structured layers that mitigate scattering without digital computation. A hybrid optical‐digital version further improves robustness and reconstruction fidelity under distortions, with both simulations
Yuhang Li +4 more
wiley +1 more source
An optoelectronic synapse based on Zr‐doped Bi4Ti3O12 exhibits learning/forgetting mimicry and achieves 94.2% accuracy on MNIST, demonstrating a novel pathway for high‐performance neuromorphic computing. ABSTRACT This study enhanced the optoelectronic properties of BIT (Bi4Ti3O12) through Zr doping at the B site, constructing an Au/Bi4Ti2.85Zr0.15O12 ...
Dongping Yang +5 more
wiley +1 more source
Urdu Handwritten Text Recognition Using ResNet18
Handwritten text recognition is an active research area in the field of deep learning and artificial intelligence to convert handwritten text into machine-understandable. A lot of work has been done for other languages, especially for English, but work for the Urdu language is very minimal due to the cursive nature of Urdu characters. The need for Urdu
openaire +2 more sources
Abstract Automating bridge inspections requires more than detecting individual damage instances. It demands systems capable of describing, contextualizing, and interpreting damage in an inspection‐relevant manner. Conventional computer vision approaches, such as object detection and segmentation, primarily address visual recognition tasks and are ...
Rona Firdes Çelik +2 more
wiley +1 more source
Abstract Determining the sequence of handwriting and laser‐printed text on documents that do not intersect is a recurring challenge in forensic document examination. This study proposes using background toner particle distribution analysis combined with kernel density estimation and likelihood ratio calculation to evaluate printing–writing sequence ...
Mathieu Arès +2 more
wiley +1 more source
Deep handwritten diagram segmentation
Handwriting is a natural way to communicate and exchange ideas, but converting handwritten diagrams to application‐specific digital formats requires skill and time.
Buntita Pravalpruk, Matthew N. Dailey
doaj +1 more source
Recognizing handwritten Arabic writing poses unique challenges for individuals with visual impairments due to the diverse range of calligraphic styles employed.
Manel Ayadi +4 more
doaj +1 more source
Research and Application of Image Enhancement and Correction Algorithm of Handwritten Steel Plate Numbering Based on Machine Vision [PDF]
Correct identification and inspection of steel plate numbers are major conditions for achieving automated production in production lines. In recent years, many production lines have been equipped with inkjet printers at the material preparation positions
XU Kuanguang, HE Dongyu, HAN Bing, LIU Yujia, LI Jiadong
doaj +1 more source

