Open AccessGel electrophoresis (GE) is an important tool in genomic analysis. GE results are presented using images. Each image contains several vertical lanes. Each lane consists of several horizontal bands. This paper describes a semiautomatic image processing scheme applied on GE image to detect lanes, bands and length or size estimation of the bands. Pre-processing steps are applied on the image prior to the segmentation scheme for the purpose of removing noise in the image. Firstly, the background is removed. In the next step, the bands are enhanced. Enhancement is also used to improve poor quality images that have faint DNA bands. Secondly, the scheme is able to identify the lanes and bands, comparing lanes between the reference DNA marker and the unknown DNA and finally estimate the unknown band length or size of unknown DNA band. The performance of the proposed scheme is analyzed through a series of experiments in order to identify its various characteristics. The experimental results showed the effectiveness of the proposed scheme to overcome the over segmentation problem associated with the available algorithms.