4 PRINCIPLE IMPROVEMENT
Automatic identification(Lima, 2013; Yuqian, 2014)
device or there is a recognition error, in order to
avoid mistaken identification unclear number,
improve the original identification method. In the
original recognition module, the combination of
manual recognition and automatic identification,
when encountered fonts are not clear, it will
automatically prompt the human identification, Can
identify the case, automatic use of automatic
identification(Pantic, 2017; Russell, 2016). The
specific process as shown in Figure IV.
Figure IV
As can be seen in the figure, after starting the
program, the test program will synchronize with the
identification module, and when the acquired serial
number is not clear, the error is identified. Figure Ⅴ ,
the use of automatic identification of the numbers
read out 1726479 and 1719151, respectively, if
manually access, and soon be able to identify the
picture number should be 1726499 and 1719154.
After the manual identification number, pop-up
dialog box will need to manually fill in the
corresponding number; when the captured image
number is clear, it will automatically enter the
number, no longer need to enter the dialog box out
of the number.
Figure Ⅴ
5 CONCLUSIONS
Automatic signaling device to improve the
efficiency of the original test, greatly reducing the
original error number and weight of the situation. If
the sample number is not clear, it will lead to
recognition error. In the case of ensuring the sample
number font specification, the identification number
can be consistent with the actual number. Image
recognition module still exists in the picture
recognition is not correct, the image recognition
technology is not yet intelligent for special
circumstances, so the need for further research
image processing technology, the combination of
artificial and intelligent(Timms, 2016; Sombattheera,
2016), to achieve seamless convergence of
operations .
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