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Multifunctional movable-type coding metasurface enabling reconfigurable diffractive neural networks. [PDF]
Yu Z +11 more
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Student-AI interaction in computer-assisted consecutive interpreting: patterns and performance. [PDF]
Kuang H, Li J, Weng Y.
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A database for handwritten text recognition research
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1994An image database for handwritten text recognition research is described. Digital images of approximately 5000 city names, 5000 state names, 10000 ZIP Codes, and 50000 alphanumeric characters are included. Each image was scanned from mail in a working post office at 300 pixels/in in 8-bit gray scale on a high-quality flat bed digitizer.
J J Hull
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Recognition of Short Handwritten Texts
2004Building on our 10-year-experience with script recognition systems, a new reader generation was designed. Previously, only single handwritten words were compared against a dictionary. Now a short text is modeled and processed as a whole. The system does not proceed in a linear fashion anymore, but uses feedback between image processing, character ...
Michael Boldt, Christopher Asp
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An architecture for handwritten text recognition systems
International Journal on Document Analysis and Recognition, 1999This paper presents an end-to-end system for reading handwritten page images. Five functional modules included in the system are introduced in this paper: (i) pre-processing, which concerns introducing an image representation for easy manipulation of large page images and image handling procedures using the image representation; (ii) line separation ...
Gyeonghwan Kim +2 more
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Language Technology for Handwritten Text Recognition
2012Work supported by the EC (FEDER), the Spanish MEC under the MIPRCV “Consolider Ingenio 2010” research programme (CSD2007- 00018) and the Spanisg Government (MICINN and “Plan E”) under the MITTRAL (TIN2009-14633-C03-01) research project.
Alejandro H. Toselli +5 more
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Offline arabic handwritten text recognition
ACM Computing Surveys, 2013Research in offline Arabic handwriting recognition has increased considerably in the past few years. This is evident from the numerous research results published recently in major journals and conferences in the area of handwriting recognition. Features and classifications techniques utilized in recent research work have diversified noticeably compared
Mohammad Tanvir Parvez, Sabri A. Mahmoud
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