  Prior to the availability of digital cameras, the solar observational images
are typically recorded on films, and the information such as date and time were
stamped in the same frames on film. It is significant to extract the time stamp
information on the film so that the researchers can efficiently use the image
data. This paper introduces an intelligent method for extracting time stamp
information, namely, the Convolutional Neural Network (CNN), which is an
algorithm in deep learning of multilayer neural network structures and can
identify time stamp character in the scanned solar images. We carry out the
time stamp decoding for the digitized data from the National Solar Observatory
from 1963 to 2003. The experimental results show that the method is accurate
and quick for this application. We finish the time stamp information extraction
for more than 7 million images with the accuracy of 98\%.
