Segmentation of symbols or characters in the OCR process is a very critical and important phase, as it directly affects the recognition system. If objects in the image are not accurately segmented, then the recognition will also be false and this ultimately affects the performance of the system. Brahmi script contains certain alphabets which comprise some isolated symbols. In this paper, the authors have proposed an innovative approach to segment the lines from the digital Brahmi estampage document and further segment the alphabets from the line, which are regular characters as well as special characters comprising isolated symbols. The authors have developed an algorithm that effectively segments the lines, regular characters and special characters. Advancements in the algorithm can be made to improve the results for accuracy.