Abstract
This paper describes a lexical analysis (segmentation) approach in Pattern Recognition for Online Handwritten Character Recognition (OHCR) in Malayalam. The subunits (Pattern Primitives) in the single stroke vowel characters in Malayalam are identified and marked with pattern primitives to obtain a reference set of characters. Segmentation of the handwritten character samples into pattern primitives is made using a Combined Approach of Ramer Douglas Peucker algorithm and Eight Direction Freeman Code as per reference set. Features that are unique in the primitives of a character are extracted. The discriminating features identified are the direction of first primitive, segment count, cusp in second primitive, crossing in third primitive, and cusp in seventh primitive. The experiments were conducted on 100 samples per character that showed exact segmentation as per the reference set. With a five dimension feature set, the study achieved a recognition rate of 95.77% for five-fold cross-validation using Support Vector Machine with RBF kernel. The study shows that the segmentation of characters into pattern primitives is an effective method to realize accurate Malayalam OHCR systems for real-time applications.
Highlights
In the field of human-computer interaction, machine understanding of natural handwriting, termed handwriting recognition, had an in-depth study for centuries
This paper describes a recognition scheme for online handwritten Malayalam characters based on primitive segments
The experimental results show that pattern primitive segmentation is a better choice for Online Handwritten Character Recognition (OHCR) in Malayalam.There is a drop in F1 score values for ആ and ഏ
Summary
In the field of human-computer interaction, machine understanding of natural handwriting, termed handwriting recognition, had an in-depth study for centuries. Advances in technology blended more promising results for handwriting recognition methods especially in Online Handwritten Character Recognition (OHCR). In the Indian context, the geometrical structure of a character is effectively used as a feature in many OHCR studies. The geometrical features of Indic scripts are described in various studies [2]. In the Indian context, a primitive based approach for handwritten Bengali alpha-numeric characters is effectively used in a study by Abhijith Dutta and Santanu Chaudhury [5]. The studies that address recognition of online handwritten character using pattern primitives are not attempted in Malayalam. This paper describes a recognition scheme for online handwritten Malayalam characters based on primitive segments.
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