Oguz K.Canliturk B.Kabar C.Durukan O.Ozceylan B.2023-06-162023-06-1620189.78E+12https://doi.org/10.1109/SIU.2018.8404220https://hdl.handle.net/20.500.14365/3606Aselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netas26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- 137780Dementia affects the lives of millions of people. Digital recognition and evaluation of the Clock Drawing Test that is used for diagnosis will remove subjective manual evaluation and will increase the awareness and early diagnosis. The proposed system evaluates the clocks drawn to the paper and loaded to it by extracting their graphical features. Besides image processing methods, artificial neural networks are used to detect the numbers. The results of the system are in accordance with the manual evaluation for 35 clocks drawn by healthy subjects. © 2018 IEEE.trinfo:eu-repo/semantics/closedAccessArtificial neural networksCharacter recognitionClock drawing testHough transformCharacter recognitionClocksDiagnosisHough transformsImage processingProcessingDigital recognitionEarly diagnosisGraphical featuresHealthy subjectsImage processing - methodsNeural networksConference Object10.1109/SIU.2018.84042202-s2.0-85082355470