Patent Document ID: 9626459
Application ID: 14162889

Base Claim:
1. A method, in a data processing system, for detecting lithographic hotspots, the method comprising: receiving a design layout; generating spatial pattern clips from the design layout using a sliding window to split the design layout into overlapping windows; performing a transform on the spatial pattern clips to form frequency domain pattern clips; performing feature extraction on the frequency domain pattern clips to form frequency domain features; utilizing the extracted features on a set of training samples to train a machine learning classifier model; and classifying a set of previously unseen patterns, based on frequency domain features of the previously unseen patterns using the trained machine learning classifier model, into hotspots and non-hotspots.

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Claim 2:
2. The method of claim 1 , wherein performing feature extraction comprises extracting a square window of N by N samples from a given frequency domain pattern clip, wherein N is based on a numerical aperture of an imaging lens used in a photolithography process.