Results 171 to 180 of about 815,840 (218)

Handwritten Gujarati Script Recognition

2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021
Their are numerous languages in this world and they are spoken and written every day. In modern times everyone has recognized the need for the recognition of handwritten scripts by machines for various purposes. Handwriting recognition has been one of the most demanding and interesting research areas in the field of image processing and machine ...
Archana Shirke, Nikunj Gaonkar, Paresh Pandit, Kapil Parab   +3 more
openaire   +1 more source

RECOGNITION OF HANDWRITTEN DEVANAGARI SCRIPT

International Journal of Pattern Recognition and Artificial Intelligence, 2010
Segmentation of handwritten text into lines, words and characters is one of the important steps in the handwritten text recognition process. In this paper, we propose a float fill algorithm for segmentation of unconstrained Devanagari text into words. Here, a text image is directly segmented into individual words.
Latesh G. Malik, P. S. Deshpande
openaire   +1 more source

Segmentation and reconstruction of on-line handwritten scripts

Pattern Recognition, 1998
Abstract On-line handwritten scripts consist of sequences of components that are pen tip traces from pen-down to pen-up positions. This paper presents a segmentation and reconstruction procedure which segments components of a script into sequences of static strokes, and then reconstructs the script from these sequences.
Xiaolin Li 0006, Marc Parizeau, Réjean Plamondon   +2 more
openaire   +2 more sources

Word-level script identification for handwritten Indic scripts

2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015
Automatic script identification from handwritten document images facilitates many important applications such as indexing, sorting and triage. A given Optical Character Recognition (OCR) system is typically trained on only a single script but for documents or collections containing different scripts, there must be some way to automatically identify the
Pawan Kumar Singh 0001, Ram Sarkar, Mita Nasipuri, David S. Doermann   +3 more
openaire   +2 more sources

Automatic Handwritten Indian Scripts Identification

2014 14th International Conference on Frontiers in Handwriting Recognition, 2014
Since OCR engines are usually script-dependent, automatic text recognition in multi-script document requires a pre-processor module that identifies the scripts. Based on this motivation, in this paper, we present a word level handwritten Indian script identification technique.
Rajmohan Pardeshi, B. B. Chaudhuri 0001, Mallikarjun Hangarge, KC Santosh   +3 more
openaire   +1 more source

Script identification of handwritten word images

SPIE Proceedings, 2009
This paper describes a system for script identification of handwritten word images. The system is divided into two main phases, training and testing. The training phase performs a moment based feature extraction on the training word images and generates their corresponding feature vectors.
Anurag Bhardwaj, Huaigu Cao, Venu Govindaraju   +2 more
openaire   +2 more sources

Segmentation of handwritten Bangla script

2013 International Conference on Informatics, Electronics and Vision (ICIEV), 2013
Segmentation of handwritten Bangla script is one of the most critical areas of the Optical Character Recognition System. Paying attention on the various writing style of different individuals we propose an efficient scheme to segment unconstrained handwritten Bangla script into lines, words and characters.
Arafat Rahman, Hossain Md. Cyrus, Farhad Yasir, Waliul Bari Adnan, Md. Monirul Islam   +4 more
openaire   +1 more source

Survey on Segmentation and Recognition of Handwritten Arabic Script

SN Computer Science, 2020
The issue of handwritten recognition in Arabic script nature has attracted many researchers from both academic and industrial fields. But their efforts have not reached satisfying outcomes till now. In this paper, a survey has been done in segmentation and recognition of handwritten documents in Arabic script.
Amani Ali Ahmed Ali, M. Suresha
openaire   +2 more sources

Skew detection in handwritten scripts

TENCON '97 Brisbane - Australia. Proceedings of IEEE TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications (Cat. No.97CH36162), 2002
Skew detection is an important pre-processing task in an automated document image processing system. This paper reports on work done in skew detection of handwritten scripts. It has been developed as part of an off-line OCR system. We investigate existing techniques such as the Hough transform, projection histograms, method of least squares and word ...
W. Chin, A. Harvey, A. Jennings
openaire   +1 more source

A pseudo-skeletonization algorithm for static handwritten scripts

International Journal of Document Analysis and Recognition (IJDAR), 2009
This paper describes a skeletonization approach that has desirable characteristics for the analysis of static handwritten scripts. We concentrate on the situation where one is interested in recovering the parametric curve that produces the script.
Emli-Mari Nel, Johan A. du Preez, Ben M. Herbst   +2 more
openaire   +2 more sources