Patent Document ID: 8027540
Application ID: 12014193

Base Claim:
1. A method comprising: receiving, by a computer, an image of a handwritten item; performing, by said computer, a word segmentation process on said image to produce a set of sub-images; extracting, by said computer, a set of feature vectors from each sub-image using said computer; computing, by said computer, a first log-likelihood score of said feature vectors using a word model having a first structure; computing, by said computer, a second log-likelihood score of said feature vectors using a background model having a second structure different than said first structure using said computer; computing, by said computer, a final score for said sub-image by subtracting said second log-likelihood score from said first log-likelihood score; comparing, by said computer, said final score against a predetermined standard to produce a word identification result; and outputting, by said computer, said word identification result.

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Claim 2:
2. The method according to claim 1 , said word model comprising a Hidden Markov Model (HMM) and said background model comprising a Gaussian Mixture Model (GMM).