EFFECT OF NON-IMAGE FEATURES ON RECOGNITION OF HANDWRITTEN ALPHA-NUMERIC CHARACTERS
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2014, Vol 13, Issue 11
Abstract
Handwritten character recognition has applications in several industries such as Banking for reading of cheques and Libraries/ National archives for digital searchable storage of historic texts. The main feature typically used for the recognition task is the character image. However, there are other possible features such as the hand (left or right) used by author, number of strokes and other geometric features that can be captured when writing on digital devices. This paper investigates the effect of using some non-image features on the recognition rate of three classifiers: Instance Based Learner (IBk), Support Vector Machines (SVM) and the Multilayer Perceptron (MLP) Neural Network for singly-written alpha-numeric character recognition. Our experiments were conducted using the WEKA machine learning tool on offline and online handwritten acquired locally. A percentage split (66%-34% train-test) evaluation methodology was adopted with the classification accuracy measured. Results indicate that non-image additional features improved the accuracy across the three classifiers for the online and offline character datasets. However, this improvement was not statistically significant. SVM gave the best accuracy for the online dataset while IBk performed better than the other two classifiers for the offline dataset. We intend to investigate the effect of non-image features at other levels of text granularity such as words and sentences
Authors and Affiliations
Ibrahim Adeyanju, Olusayo Fenwa, Elijah Omidiora
Keywords
Related Articles
- EP ID EP650602
- DOI 10.24297/ijct.v13i11.2785
- Views 146
- Downloads 0
The New Image Encryption and Decryption Using Quasi Group
Multimedia Communication is the new age of communication. Image Communication is one of the most popular types of multimedia communication. This type of communication always faces security challenges. Security breach is...
Global Prediction algorithms and predictability of anomalous points in a time series
The Indian Ocean Dipole (IOD) event of 1997 had significant impacts on regional climate variability as it produced large Sea Surface Temperature (SST) anomalies in the Indian Ocean (IO). This dipole mode accounted for ab...
Assessing the Critical Factors for E-Learning Systems Using Fuzzy TOPSIS and Fuzzy Logic
Assessing the success of Information Systems (ISs) has been identified as one of the most critical issues in IS field. Offering more services and the ease of access is considered as a significant factor for today’s aca...
F-MEEP: Fuzzy Logic Based Multihop Energy Efficient Routing Protocol for HWSN
Energy preservation is one of the most important research challenges in Wireless Senor Networks (WSNs). In recent research, topologies and architectures have investigated that allow energy efficiency in WSNs. Clustering...
Evaluation of an Intelligent Approach for Semantic Web
The semantic web is a vision which captures information from the web and makes it possible to help machines to understand complex human requests. Such intelligence based understanding requires important sources of inform...