Introduction: Anagram solving task involves a retrieving process from previously acquired knowledge, this serves as a suitable memory cognition test. Automation of this process can give a very good memory cognitive test tool, the method behind this automation is anagram orthographic similarity measure.
Aim: The purpose of this research is to study existing anagram orthographic similarity measures, to deduce their strengths and weaknesses, for further improvement.
Materials and Methods: Experiments were carried out on the measures, using real data. Their behaviour on different orthographic string set was observed.
Result: Experiment revealed that brute force has a very poor processing time, while sorting and neighbourhood frequency does not have issues with processing time.
Conclusion: The research revealed that existing anagram orthographic similarity measures are not suitable for character position verification and evaluation of syllabic complexity which are essential measures of working memory capacity.