Progressive loss of motor, cognitive, or both capacities is a hallmark of neurodegenerative disorders including Parkinson’s and Alzheimer’s. Although the precise causes of neurodegenerative disorders are frequently unknown, a breakdown in brain and spinal cord function is the scientific interpretation of these conditions, which can be caused by genetic, environmental, and lifestyle factors. Since there is currently no cure for these disorders, treatment usually concentrates on managing symptoms in order to enhance patients’ quality of life and delay the course of the disease. Given that serious and irreparable harm may have already been done once symptoms appear, an early diagnosis is essential to begin medical care right away. Handwriting, which depends on a mix of kinesthetic and motor-perceptual skills, is commonly recognized as one of the first skills impacted by cognitive problems. The development of several handwriting protocols that describe the exact writing or drawing tests to be conducted is the first step toward the significant improvements that have been made in the field. However, it is crucial to emphasize that there is no universal agreement on the number and type of tasks that should be used. Furthermore, there aren’t many standardized databases that compile this type of data, which usually only pertains to a small number of people. This aspect adds another layer of complexity in the realm of machine learning techniques, which usually demand substantial volumes of data. Moreover, there is a lack of consensus regarding the specific features researchers should prioritize. Indeed, the challenge of identifying effective features that enable the system to differentiate between regular age-related handwriting changes and those induced by neurodegenerative disorders remains unresolved. This paper will investigate existing studies focusing on detecting Alzheimer’s disease using handwriting analysis. Our examination will encompass the databases employed, the features extracted, the methodologies applied, and the ultimate discoveries and conclusions drawn from these studies.