A Region Based Design of Deterministic Finite State Automata for Online Recognition of Teeline Shorthand Language Alphabet

  • Vishwanath C. Burkpalli
  • Shivaprakash
  • B. S. Anami
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 14)

Abstract

This paper discusses a region based deterministic finite state automata for recognition of isolated online Teeline shorthand alphabet. The strokes are drawn in fixed template of size M × N that is M rows and N columns on a tablet or handheld devices, which are further divided into 13 logical regions using the concept of matrices. Features are extracted from each of these regions and are labeled 1 or 0, based on minimum number of pixels covered in that region and are stored in the feature vector. These feature vectors form input to deterministic finite state automata which recognizes the characters drawn. In order to test 54,600 online handwritten isolated Teeline character samples were used as there is no database of online Teeline characters is available. The characters are written five times by twenty writers. It is observed that average recognition rate is 93.57% for novice writers, 96.73% for familiar writers and 98.84% for expert writers, who practiced writing for a week. The method is simple and does not need segmentation of the strokes. Preprocessing is done at the level of regions and only those regions where the stroke passes.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Vishwanath C. Burkpalli
    • 1
  • Shivaprakash
    • 2
  • B. S. Anami
    • 3
  1. 1.Department of Information Science and EngineeringPDA College of EngineeringGulbargaIndia
  2. 2.Department of Computer Science and EngineeringGovernment Engineering College, DevagiriHaveriIndia
  3. 3.KLE Institute of TechnologyHubliIndia

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