| dc.description.abstract |
Character recognition (Optical Character Recognition) is a branch of pattern recognition. One method of pattern recognition that is currently widely used is Single Linkage Clustering and Chain Code which works like a human brain that can recognize patterns after receiving training or training on several examples given first. This final project focuses more on recognizing patterns in characters. To get the pattern on each character required some features of the character itself. Features taken on a character include Perimeter, Area, Shape Factor, Roundness for SLC and Chain Map for Chain Code. Feature retrieval using Single Linkage Clustering and Chain Code methods to be able to distinguish the forms of the segment according to the given parameters.
Keywords = Single Linkage Clustering, Chain Code, OCR, Pattern recognition.
| en_US |
