CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children

Jayakanth Kunhoth, Somaya Al-Máadeed, Moutaz Saleh Mustafa Saleh, Younes Akbari

Abstract: Highlights•Diagnosis of dysgraphia in children from offline handwritten images.•Ensemble of deep CNNs trained on handwriting task-specific data.•CNN features of handwriting task-specific data are fused for improved diagnosis.•High dysgraphia diagnosis sensitivity (97%).