Please use this identifier to cite or link to this item:
Title: Segmentation of Touching Numeric Digits
Authors: Sharma, Keshwani
Supervisor: Kumar, Rajiv
Keywords: Segmentation, OCR, Drop Fall
Issue Date: 25-Aug-2009
Abstract: In this work, we have discussed the segmentation system for numeric digits. We have studied the existing algorithms used for the segmentation of numeric digits and tried to explain it. As by, there are three approaches for segmentation (classical, recognition based and holistic methods). But under present study we focused on the classical approach of segmentation for numeric digits, which is based on character features alone (i.e. not aided by recognition). Various techniques like Min-Max, Hit and Deflect, Structural feature based technique and drop fall have studied for numeric digit segmentation. The problem of segmenting overlapping or touching character has been studied in detail. Variations of drop fall have also discussed which have advantages over one another. A hybrid heuristic, which is the mixing of all these variations have discussed in detail, which has promising results. This algorithm is used by many OCR designers to have complete OCR system. An improved segmentation algorithm, Extended Drop fall has also been discussed for proper segmentation of problematic cases.
Appears in Collections:Masters Theses@SOM

Files in This Item:
File Description SizeFormat 
906.pdf2.49 MBAdobe PDFThumbnail

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.