One of the many computer-related topics being researched for digitization of handwritten data is handwritten document recognition. Because handwriting is beneficial for a variety of purposes, such as teaching, learning, generating proposals, architectures, etc., handwriting recognition is a passionately disputed topic. Text, symbols, mathematical equations, digits, and tables make up a handwritten document. This paper examines and summarises research handwritten document recognition disclosed through patents. This report searches, reviews, and analyses patent documents using patent databases such as Lens and Unified Patents. A patentometric review of 101 patent documents is presented in this paper. In terms of patent qualitative and quantitative patent indices, the study summarises and analyses outstanding patents. This article presents a thorough global patent study to assist academics and scientists in developing more efficient handwritten document recognition algorithms and systems.