Person-Dependent Handwriting Verification for Special Education Using DeepLearning  

作　　者：Umut Zeki Tolgay Karanfiller Kamil Yurtkan 

机构地区：[1]Department of Computer Engineering,Cyprus International University,Haspolat,Nicosia,Northern Cyprus,Mersin 10,Turkey [2]Computer and Instructional Technology Teacher Education,Cyprus International University,Haspolat,Nicosia,Northern Cyprus,Mersin 10,Turkey

出　　处：《Intelligent Automation & Soft Computing》2023年第4期1121-1135,共15页智能自动化与软计算（英文）

摘　　要：Individuals with special needs learn more slowly than their peers and they need repetitions to be permanent.However,in crowded classrooms,it is dif-ficult for a teacher to deal with each student individually.This problem can be overcome by using supportive education applications.However,the majority of such applications are not designed for special education and therefore they are not efficient as expected.Special education students differ from their peers in terms of their development,characteristics,and educational qualifications.The handwriting skills of individuals with special needs are lower than their peers.This makes the task of Handwriting Recognition(HWR)more difficult.To over-come this problem,we propose a new personalized handwriting verification sys-tem that validates digits from the handwriting of special education students.The system uses a Convolutional Neural Network(CNN)created and trained from scratch.The data set used is obtained by collecting the handwriting of the students with the help of a tablet.A special education center is visited and the handwrittenfigures of the students are collected under the supervision of special education tea-chers.The system is designed as a person-dependent system as every student has their writing style.Overall,the system achieves promising results,reaching a recognition accuracy of about 94%.Overall,the system can verify special educa-tion students’handwriting digits with high accuracy and is ready to integrate with a mobile application that is designed to teach digits to special education students.

关 键 词：Special education deep learning convolutional neural network handwriting verification handwriting digit verification person-dependent training handwriting recognition 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]