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A database for handwritten text recognition research

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1994
An 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
exaly   +2 more sources

Handwritten Chinese text editing and recognition system

Multimedia Tools and Applications, 2012
This paper describes a handwritten Chinese text editing and recognition system that can edit handwritten text and recognize it with a client-server mode. First, the client end samples and redisplays the handwritten text by using digital ink technics, segments handwritten characters, edits them and saves original handwritten information into a self ...
Shusen Zhou
exaly   +2 more sources

Recognition of Short Handwritten Texts

2004
Building 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
openaire   +1 more source

Language Technology for Handwritten Text Recognition

2012
Work 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
openaire   +2 more sources

An architecture for handwritten text recognition systems

International Journal on Document Analysis and Recognition, 1999
This 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
openaire   +1 more source

Offline arabic handwritten text recognition

ACM Computing Surveys, 2013
Research 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
openaire   +1 more source

Opportunities for Personalization for Crowdsourcing in Handwritten Text Recognition

Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020
Transcribing historical handwritten documents is a difficult task. One facet is that it is a very tedious task normally performed by experts. Some newer techniques rely on crowdsourcing of manual transcription. Crowdsourcing helps speeding up the transcription process, but it is still limited and brings with it new challenges.
Alan J. Wecker   +6 more
openaire   +1 more source

Influence of text line segmentation in Handwritten Text Recognition

2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015
Text line segmentation is the process by which text lines in a document image are localized and extracted. It is an important step in off-line Handwritten Text Recognition (HTR) given that the input of these systems is the line image of the text to be transcribed.
Verónica Romero 0001   +4 more
openaire   +1 more source

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