We can work on Reasons for more stringent (mandatory) measures

Critically discuss what may be the reasons for more stringent (mandatory) measures failing to improve the transparency around lobbying? Please support your arguments with appropriate theoretical concepts and empirical examples discussed .

Sample Solution

But there are some disadvantages to this method. What if the police database doesn’t contain a mugshot of this specific person and the security images are not that clear, how can they match the face from the picture? This a fundamental problem in face recognition if there were no witnesses [12]. But if there were witnesses, they can match the face with a sketch. And that process can also be reversed. iv. Face recognition in sketches When a face cannot be obtained from a picture or from security images, a forensic sketch can be a good substitute based on the description a witness is giving. [23] These sketches include facial features and depending on those facial features, the forensic sketch can correspond to a mugshot in the police’s database full of mugshots. To see if a face matches with a mugshot from the database, face recognition is used. Again, the efficiency of this method depends on how good the quality of the sketch is. In the database there are many mugshots, so to increase the chance that the sketch will match with the good mugshot, a law enforcement agency will have to look at the best-retrieved results. They can look for example at the best 30 or 50. If the police force will only look at the best result, then the chance to find the mugshot that they want will be smaller than if they look at the best 30 or 50 results. Beside the quality, the computer can make mistakes and that is also a reason why looking at the best 30 or 50 is better than just looking at the best result of the computer [20]. 4. Dangers of using facial recognition techniques Using facial recognition in the real world is becoming more normal, and the technologies are improving very rapidly. It is just a matter of time until facial recognition is something people will use in their daily life. Until this is the case, there are still a lot of things to improve and the dangers that this technique bring need to be considered, and solutions need to be found. In this paper, a few of these dangers will be discussed and analyzed.>

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