A Karyogram is an image representation of human
chromosomes arranged in order of decreasing size and paired in
23 classes. Automatic pairing of the chromosomes is a difficult
task because the chromosomes appear blurred with undefined
edges and low level of band pattern information. This paper
proposes an efficient approach based on determining the
propinquity between the chromosomes to automatically pair
them. Besides the features used in traditional karyotyping
procedures, a novel Nearness Factor, ‘N-factor’ is defined to
pair the chromosomes based on the similarity in the band
patterns. The performance of the algorithm was tested and
analyzed using 50 images of group ‘A’ and group ‘C’ from
publically available data set giving an overall pairing accuracy
of 100 % for group ‘A’ and 97 % for group ‘C’. The
experimentation demonstrates that the proposed ‘N-factor’
achieves higher and robust performance in pairing
chromosomes