RETRACTED ARTICLE: A hybrid group search optimization: firefly algorithm-based big data framework for ancient script recognition

• Published in: Soft computing (Berlin, Germany) Vol. 24; no. 14; pp. 10933 - 10941
• Main Authors: Suganya, T. S., Murugavalli, S.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-07-2020; Springer Nature B.V
• Subjects: 12th century; 3rd century; 6th century; Accuracy; Algorithms; Ancient languages; Artificial Intelligence; Big Data; Classification; Computational Intelligence; Control; Data mining; Decision trees; Engineering; Evolutionary algorithms; Feature selection; Heuristic methods; Inscriptions; Mathematical Logic and Foundations; Mechatronics; Methodologies and Application; Optical character recognition; Optimization; Robotics; Sanskrit; Group search algorithm; Optical character recognition (OCR); Segmentation and neural network (NN); Firefly algorithm; Character recognition system
• ISSN: 1432-7643; 1433-7479
• DOI: 10.1007/s00500-019-04596-x

Optical character recognition is becoming one of the widely researched areas in recent times. This research paper presents an optimization framework for ancient script recognition using the process of script or character segmentation. The proposed algorithm is based on evolutionary algorithm and capable of handing a continuous script of high-resolution data using concepts of big data. A hybrid combination of group search and firefly algorithm has been proposed in this research work and compared against recent works. Optimal classifications results are observed and recorded in this research paper.