If $b \ge d$, you can eliminate the rows with $d$ in column $2$.
But then, once that's done, column $2$ has equal values, so one of the two remaining rows can be eliminated.
So now just one row, with $2$ columns.
But then one column can be eliminated.
So now just a $1\times 1$ game.
Thus, an optimal pure strategy is given by the row and column, respectively, in the original matrix, corresponding to the remaining cell in the $1\times 1$ matrix.
Since neither player can do better by any change, it must yield a saddle point.
The reasoning for the case $d \ge b$ is analogous.
The key idea is this: By removing a row or column which is weakly or strongly dominated, the new game still has at least one of the original pure-strategy saddle points if there was one originally, and can't add any new pure-strategy saddle points that weren't there originally.