Author details

Azhar Hussain<sup>1</sup> \* and Kamal Bhattarai<sup>2</sup>


\*Address all correspondence to: engrazr@gmail.com

© 2019 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Table 3 shows results of the process for the detection of misprinted boxes as discussed in Section 3. It is observed that the proposed scheme put a stable restriction on the misprinted labels, and it is shown in Table 3 that the value of QSGBP

1 3397.88 1.38 107 3727.68 21 + 2 91.30 2 3397.88 1.38 107 7455.36 21 + 2 91.30 3 3397.88 1.38 107 11183.04 21 + 2 91.30

Q bound nσ<sup>D</sup> Box counts GPBc+MPBc QSGBP %

σ<sup>D</sup> <sup>2</sup>

Detection of bad printed boxes for different n: (a) n = 1, (b) n = 2, and (c) n = 3.

Computer Architecture in Industrial, Biomechanical and Biomedical Engineering

Figure 10 shows the detection of misprinted labels, and they are marked with

remains 91.30% for all three values of m.

the red boxes for m = 1, 2, and 3.

Misprinted labels' assessment results.

Bar graph of k-NN classification distance D.

Quality index m Mean E [D] Variance

Figure 9.

Figure 8.

Table 3.

114
