Issue No. 05 - May (1994 vol. 16)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.291440
An image database for handwritten text recognition research is described; it contains 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. The data were unconstrained for the writer, style, and method of preparation. These characteristics help overcome the limitations of earlier databases that contained only isolated characters or were prepared in a laboratory setting under prescribed circumstances. Also, the database is divided into explicit training and testing sets to facilitate the sharing of results among researchers as well as performance comparisons.
visual databases; character recognition; performance evaluation; handwritten text recognition; image database; digital images; alphanumeric characters; gray scale; flat bed digitizer; writer; style; performance comparisons; 8 bit
J. Hull, "A Database for Handwritten Text Recognition Research," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 16, no. , pp. 550-554, 1994.