@inproceedings{12b2f297888c456896ade685a3b6b05a,
title = "A neural network approach to handprint character recognition",
abstract = "The authors outline OCR (optical character recognition) technology developed at AT&T Bell Laboratories, including a recognition network that learns feature extraction kernels and a custom VLSI chip that is designed for neural-net image processing. It is concluded that both high speed and high accuracy can be obtained using neural-net methods for character recognition. Networks can be designed that learn their own feature extraction kernels. Special-purpose neural-net chips combined with digital signal processors can quickly evaluate character-recognition neural nets. This high speed is particularly useful for recognition-based segmentation of character strings.",
author = "Jackel, {L. D.} and Stenard, {C. E.} and Baird, {H. S.} and B. Boser and J. Bromley and Burges, {C. J.C.} and Denker, {J. S.} and Graf, {H. P.} and D. Henderson and Howard, {R. E.} and W. Hubbard and Y. leCun and O. Matan and E. Pednault and W. Satterfield and E. Sackinger and T. Thompson",
year = "1991",
language = "English (US)",
isbn = "0818621346",
series = "Digest of Papers - IEEE Computer Society International Conference",
publisher = "Publ by IEEE",
pages = "472--475",
booktitle = "Digest of Papers - IEEE Computer Society International Conference",
note = "36th IEEE Computer Society International Conference - COMPCON Sping '91 ; Conference date: 25-02-1991 Through 01-03-1991",
}