scholarly journals Unconstrained Handwritten Text Line Segmentation for Kannada Language

2019 ◽  
Vol 8 (12) ◽  
pp. 953-956
Keyword(s):  
Character Recognition ◽  
Recognition System ◽  
Text Line ◽  
Connected Component ◽  
Horizontal Projection ◽  
Text Documents ◽  
Handwritten Text ◽  
Kannada Language ◽  
System Separation ◽  
Line Segmentation

Segmentation is division of something into smaller parts and one of the Component of character recognition system. Separation of characters, words and lines are done in Segmentation from text documents. character recognition is a process which allows computers to recognize written or printed characters such as numbers or letters and to change them into a form that the computer can use. the accuracy of OCR system is done by taking the output of an OCR run for an image and comparing it to the original version of the same text. The main aim of this paper is to find out the various text line segmentations are Projection profiles, Weighted Bucket Method. Proposed method is horizontal projection profile and connected component method on Handwritten Kannada language. These methods are used for experimentation and finally comparing their accuracy and results.

scholarly journals Comparative Study of Text Line Segmentation Algorithms on Low Quality Documents

2013 ◽  
pp. 270-276
Author(s):  
P. Soujanya ◽  
Vijaya Kumar Koppula ◽  
Kishore Gaddam
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Recognition System ◽  
Character Segmentation ◽  
Text Line ◽  
Run Length ◽  
Processing Step ◽  
Segmentation Algorithms ◽  
Text Line Segmentation ◽  
Line Segmentation

Segmentation of text lines is one of the important steps in the Optical Character Recognition system. Text Line Segmentation is pre-processing step of word and character segmentation. Text Line Segmentation can be viewed simple for printing documents which contains distinct spaces between the lines. And it is more complex for the documents where text lines are overlap, touch, curvilinear and variation of space between text lines like in Telugu scripts and skewed documents. The main objective of this project is to investigate different text line segmentation algorithms like Projection Profiles, Run length smearing and Adaptive Run length smearing on low quality documents. These methods are experimented and compare their accuracy and results.

Southeast Asian palm leaf manuscript images: a review of handwritten text line segmentation methods and new challenges

2016 ◽  
Vol 26 (1) ◽  
pp. 011011 ◽  
Author(s):  
Made Windu Antara Kesiman ◽  
Dona Valy ◽  
Jean-Christophe Burie ◽  
Erick Paulus ◽  
I. Made Gede Sunarya ◽  
...  
Keyword(s):  
Southeast Asian ◽  
Text Line ◽  
Handwritten Text ◽  
Segmentation Methods ◽  
Text Line Segmentation ◽  
New Challenges ◽  
Line Segmentation ◽  
Palm Leaf

scholarly journals The Study of Plate Number Recognition for Parking Security System

2020 ◽  
Vol 1 (3) ◽  
pp. 100-107
Author(s):  
Shakeeb M.A.N. Abdul Samad ◽  
Fahri Heltha ◽  
M. Faliq
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Moving Average ◽  
Recognition System ◽  
Binary Image ◽  
Connected Components ◽  
Horizontal Projection ◽  
Bar Code ◽  
Plate Number ◽  
Number Recognition

Car Plate Number Recognition System is an important platform that can be used to identify a car vehicle identity. The Recognition System is based on image processing techniques and computer vision. A webcam is used to capture an image of the car plate number from different distance, and the identification is conducted through  four processes of stages: Image Acquisition Pre-processing, Extraction, Segmentation, and Character Recognition. The Acquisition Pre-processing stage is extracted the region of interest of the image. The image is captured by live video of the webcam, then converted to grayscale and binary image. The Extraction stage is extracted the plate number characters from binary image using a connected components method. In the Segmentation stage is done by implementing horizontal projection as well as moving average filter. Lastly, in the Character Recognition, is used to identify the segmented characters of the plate number using optical character recognition. The proposed method is worked well for Malaysian's private cars plate number, and can be implemented in car park system to increase level of security of the system by confirming the bar code of the parking ticket and the plate number of the car at the incoming and outgoing gates.

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