Morphological waveform coding for writer identification

Abstract

Writer identi"cation is carried out using handwritten text. The feature vector is derived by means of morphologically processing the horizontal pro"les (projection functions) of the words. The projections are derived and processed in segments in order to increase the discrimination e$ciency of the feature vector. Extensive study of the statistical properties of the feature space is provided. Both Bayesian classi"ers and neural networks are employed to test the e$ciency of the proposed feature. The achieved identi"cation success using a long word exceeds 95%.

A Stroke Shape and Structure Based Approach for Off-line Chinese Handwriting Identification

“…In [10], edge-based directional probability distributions were used as features; meanwhile charactershape (allograph) is another type of effective feature [2]. In [15], the feature vector was derived by Copyright morphologically processing the horizontal profiles of the words, where the projections were derived and processed in segments to increase the discriminating power. The widely used classifiers at least include Hidden Markov Model (HMM) [11] [12], weighted Euclidean distance (WED) classifier [6]- [8], Bayesian model [2] [15], likelihood ranking [3], etc.…”

“…For matching singleton non-sequential features such as texture, edge and contour, the weighted Euclidean distance (WED) [6]- [8] has been shown to be effective by the experiments. In [15], both Bayesian classifiers and neural networks were used as the classifiers.…”

“…Additionally, the scanned characters may be of different sizes, and have different spaces between text lines. Therefore, a preprocessing is often required [7] [9] [15]. The Common steps used for pre-processing are as follows.…”

“…Since for Chinese handwriting identification, there often exist horizontal background lines that are much thinner than the foreground stroke, as shown in Figure 3(a). In this paper, we use mathematical morphology for removing the cluttered and thin background, which is also a commonly used approach [7] [15].…”

Fuzzy-Membership Based Writer Identification from Handwritten Devnagari Script

“…Writer identification can be applied by using the following two methods: the text dependent method and the text independent method. The text dependent method [7][8][9][10] is based on the writing style of character/word/lines. The text independent method [11][12][13][14] does not depend upon handwriting style.…”