A novel technique for quasar recognition

We present a Hough transform (HT)-based technique for quasar recognition. The main purpose of quasar recognition is to identify redshifts. There are two main approaches to calculating redshifts. One is a direct way based on recognizing emission peaks firstly, the other is a statistical one. We apply HT, a statistical way to compute redshifts. In addition, we employ two post-processing techniques for HT: one uses a linear kernel to recover the weakened true peak in the accumulator array; the other is a voting technique to eliminate sharp false peaks. Moreover, we use a weighted HT to improve the recognition results further. Experimental results are satisfactory.