A Survey On Script Remembrance Of Different Indic Natives

Due to recent advancements widespread in digitalized processing, script identification has become most prominent. It concerns with identifying multi-lingual scripts. Optical Character Recognition (OCR) has become promising technique in character reorganization. The primary objective of OCR is to optically sense characters that are machine printed/ hand written. Howbeit, no complete OCR system exists for most of the Indian scripts in recognizing characters perfectly. This paper reviews various methods exploited on character recognition for Indic scripts.

REFERENCES

[1]. Abdul Kawsar Tushar, Akm Ashiquzzaman, Aﬁa Afrin, and Md. Rashedul Isla, “A Novel Transfer Learning Approach upon Hindi, Arabic, and Bangla Numerals Using Convolutional Neural Network”, Springer International Publishing AG 2018
[2]. Konkimalla Chandra Prakash, Y. M. Srikar, Gayam Trishal, Souraj Mandal, Sumohana S. Channappayya, “Optical character recognition (Ocr) For telugu : Database ,Algorithm and application”, 2018 IEEE.
[3]. Gaurav Kumar, Sachin Kumar, “Cnn Based Handwritten Devanagari Digits Recognition”, International Journal Of Computer Sciences And Engineering, July 2017.
[4]. Partha Roy • Ayana Kumar Bhunia • Ayan Das • Prasenjit Dey, “HMM-based Indic Handwritten Word Recognition using Zone Segmentation”, December 2016.
[5]. Shobha Rani N And Vasudev T, “A Block Level Segmentation Of Touching And Overlapping Characters In Telugu Printed And Handwritten Documents Using Iterative Split Analysis Technique”, International Journal Of Machine Intelligence, Volume 6, Issue 2, 2015
[6]. Jeelen Kumar Sarungbam1, Bhupendra Kumar2, Ankur Choudhary1, Script Identification and Language Detection of 12 Indian Languages using DWT and Template Matching of Frequently Occurring Character(s) , 2014
[7]. Dr.S.Basavaraj Patil, “Neural Network based Bilingual OCR System: Experiment with English and Kannada Bilingual Documents”, International Journal of Computer Applications (0975 – 8887) Volume 13– No.8, January 2011
[8]. Chirag I Patel, Ripal Patel, Palak Patel, “Handwritten Character Recognition using Neural Network”, International Journal of Scientific & Engineering Research Volume 2, Issue 5, May-2011.
[9]. Bindu Philip1 and R. D. Sudhaker Samuel2, “An Efficient OCR for Printed Malayalam Text using Novel Segmentation Algorithm and SVM Classifiers”, International Journal of Recent Trends in Engineering, Issue. 1, Vol. 1, May 2009.
[10]. B.M. Sagar, Dr. Shobha G, Dr. Ramakanth Kumar P, Complete Kannada Optical Character Recognition with Syntactical Analysis of the script, International Conference on Computing, Communication and Networking (ICCCN 2008).
[11]. Gopal Datt Joshi, Saurabh Garg, Jayanthi Sivaswamy, “Script Identification from Indian Documents”, Feb 2006
[12]. J. Hochberg ,L. Kerns, P. Kelly, T. Thomas,“Automatic Script identification from images using cluster-based templates”. 1995