Handwritten Alphabet Recognition Using Hamming Network
Arnold Aribowo, Samuel Lukas, Handy Handy · Seminar Nasional Aplikasi Teknologi Informasi (SNATI) · 2007
Handwritten Alphabet Recognition is one of the artificial intelligence applications which provides an important fundamental for various advanced applications, including information retrieval and human-computer interaction applications. This paper elaborates a research which is performed to build a system which is able to recognize handwritten latin alphabets in the form of images. The system is developed using the Hamming Network method. From the experiments of 100 prototypes of data, the system is able to identify handwritten latin alphabets with 76.97% average accuracy. Mistaken recognitions are mainly caused by the similarity of the alphabet patterns, such as the pattern of I, T and Z, or the pattern of C and G. The value of e and the matrix b which are given in the system may affect the recognition results. Keywords: Handwritten Alphabet Recognition, Hamming Network