Title :
Segmentation techniques for handwritten script recognition system
Author :
Mathew, C. Jibu ; Shinde, Ravi C. ; Patil, C.Y.
Author_Institution :
Instrum. & Control Dept., Coll. of Eng., Pune, India
Abstract :
Different scripts are used for writing purposes. It is very much important to identify/know these scripts before an appropriate character recognition algorithm is chosen. This paper deals mainly on the various segmentation techniques available for handwritten script recognition system. It is an important technique for image processing. Image segmentation provides meaningful objects of the image. Identification of a script in handwritten recognition system is really a challenging task in real world. Many researchers are indulged in the recognition of scripts from handwritten documents over four decades. This task becomes more and more challenging when it comes to multi lingual/script country like India. An input Image is preprocessed through various steps and segmented by different available techniques. This identification of script helps in optical Character Recognition systems (OCR).
Keywords :
document image processing; handwritten character recognition; image segmentation; natural language processing; optical character recognition; OCR; character recognition algorithm; handwritten document; handwritten recognition system; handwritten script recognition system; image processing; image segmentation; multi lingual/script country; optical character recognition system; segmentation technique; Handwriting recognition; Histograms; Image edge detection; Image segmentation; Kernel; Noise; Optical character recognition software; Handwritten recognition; Optical Character Recognition; Script; Segmentation;
Conference_Titel :
Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on
Conference_Location :
Nagercoil
DOI :
10.1109/ICCPCT.2015.7159397