I would recommend looking at rapid capture using a high end digital camera and stand... we used a Canon 5D as noted here: http://www.slideshare.net/aclavatelli/balboa-park-commons-a The speed of these rigs out performs the flatbeds and thus reduces costs.
Omni page is one of the better consumer OCR packages but in general OCR has improved so much even the built in tools in adobe acrobat work pretty good. A lot of flatbeds come with a lite version of Omni Page but they wont have all the workflow options. On Fri, Sep 19, 2014 at 9:46 AM, Shyam Oberoi <SOberoi at dma.org> wrote: > We are looking to purchase a pair of document scanners for a long-term > project that will involve digitization of papers, books, physical labels > etc in order to extract text, and so was wondering if anyone had hardware > recommendations for flatbed scanners? We are less concerned about images > and image quality and more concerned about ability to OCR text as well as > to accommodate physical material of a number of different sizes. > > Thanks in advance and please feel free to contact me off list for > additional details, > > Shyam > > > SHYAM OBEROI > Director of Technology & Digital Media > > Office: 214-922-1206 > > DMA > Dallas Museum of Art | 1717 N. Harwood St. | Dallas TX 75201 > > > > > NOTICE: The information contained in this electronic mail message and any > attachments hereto is intended only for the personal and confidential use > of the designated recipients. This message and any attachments hereto may > contain confidential information and communications. If the reader of this > message is not the intended recipient or an agent responsible for > delivering it to the intended recipient, you are hereby notified that you > have received this message in error, and that any review, dissemination, > distribution, use or copying of this message and any attachments hereto is > strictly prohibited. If you have received this message in error, please > notify the sender immediately. > _______________________________________________ > You are currently subscribed to mcn-l, the listserv of the Museum Computer > Network (http://www.mcn.edu) > > To post to this list, send messages to: mcn-l at mcn.edu > > To unsubscribe or change mcn-l delivery options visit: > http://mcn.edu/mailman/listinfo/mcn-l > > The MCN-L archives can be found at: > http://mcn.edu/pipermail/mcn-l/ > -- Rich Cherry Co-chair, Museums and the Web @richcherry www.museumsandtheweb.com
