Abstract: Signature is considered to be an important behavioral biometric of a person and signature recognition is a relevant research area in the field of personal authentication. Hence signature recognition is a tedious process in the day to day life. Most of the signature recognition system is not efficient due to poor preprocessing, normally due to poor thinning methodology. In this work various thinning algorithms have been studied and comparisons among them were performed. But none of the thinning methods gives a convenient result. Hence a new method for thinning has been proposed, which gives an acceptable result compared to the existing algorithms.