Feature Extraction and Classification Techniques in Character Recognition Systems—A Comparative Study

Abstract

Character recognition (CR) process has been extensively used in transformational research areas of computer science. It has been observed that these areas mainly cover recognition of various languages such as Devnagari, Marathi, Gurumukhi, Bangla, Malayalam, and Modi. Feature extraction and classification techniques play an important role in CR. Accuracy of recognition is subjective to selected feature extraction and classification techniques. These techniques involve mainly chain code, zoning, Zernike moments, projection histogram, template matching, etc. A comparative study of various feature extraction and classification techniques has been carried out based on some vital parameters such as data type, sample size, accuracy. Some important observations have been presented at a glance out of this study. These observations will be highly useful to the researchers putting efforts in the domain of recognition of characters in terms of improving the recognition rate highly.