Character Recognition of MODI Script Using Distance Classifier Algorithms
- Title
- Character Recognition of MODI Script Using Distance Classifier Algorithms
- Creator
- Joseph S.; George J.P.; Gaikwad S.
- Description
- Machine simulation of human reading is an active research area since the introduction of digital computers. Optical character recognition aims at the recognition of printed or handwritten text from document images and converting the same into a machine-readable form. The focus of this work is handwritten character recognition of MODI Script. A proper recognition system for handwritten documents enables it to be conveniently viewed, edited, and shared via electronic means. The development of a character recognition system for some of the ancient script is still a challenging task due to the complex nature of the script. MODI script is one such script which is the shorthand form of the Devanagari script in which Marathi was written. Though at present MODI script is not an official script, there exists a huge collection of MODI documents in various libraries. In addition, it is observed that scholars and historians are taking serious effort to revive the script. The purposed study based on the implementation of two algorithms for the classification of handwritten MODI script. The algorithms use distance classifier method. The first experiment is done using Euclidean distance classifiers and the second one is with Manhattan distance classifier and the accuracy achieved is 99.28% & 94% respectively. Springer Nature Singapore Pte Ltd 2020.
- Source
- Lecture Notes in Networks and Systems, Vol-93, pp. 105-113.
- Date
- 2020-01-01
- Publisher
- Springer
- Subject
- Classification algorithms; Euclidean distance classifier; Handwritten character recognition; Manhattan distance classifier; MODI script
- Coverage
- Joseph S., Christ (Deemed to be University), Bangalore, India, Carmel College for Women, Goa, India; George J.P., Christ (Deemed to be University), Lavasa, Pune, India; Gaikwad S., Christ (Deemed to be University), Lavasa, Pune, India
- Rights
- Restricted Access
- Relation
- ISSN: 23673370
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Joseph S.; George J.P.; Gaikwad S., “Character Recognition of MODI Script Using Distance Classifier Algorithms,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/18855.