A novel elastic graph matching procedure based on multiscale morphological operations, the so called morphological dynamic link architecture, is developed for frontal face authentication. Fast algorithms for implementing mathematical morphology operations are presented. Feature selection by employing linear projection algorithms is proposed. Discriminatory power coeecients that weigh the matchi...

Arabic handwriting word recognition is a challenging problem due to Arabic’s connected letter forms, consonantal diacritics and rich morphology. One way to improve the recognition rates classification task is to improve the accuracy of individual classifiers; another, is to apply ensemble of classifiers methods. To select the best classifier set from a pool of classifiers, the classifier divers...

This paper describes an algorithm to segment an input Turkish string without any spaces, which may be an output of a speech-to-text application, into words by using morphological analyzer. It is quite possible to use the algorithm on other languages, which has a morphological analysis component, as well. Turkish morphological analyzer is designed and implemented as the linguistic engine of the ...

Many models of word recognition assume that processing proceeds sequentially from analysis of form to analysis of meaning. In the context of morphological processing, this implies that morphemes are processed as units of form prior to any influence of their meanings. Some interpret the apparent absence of differences in recognition latencies to targets (SNEAK) in form and semantically similar (...

In this paper, morphological elastic graph matching is applied to frontal face authentication on databases ranging from small to large multimedia ones collected under either well-controlled or real-world conditions. It is shown that the morphological elastic graph matching achieves a very low equal error rate on databases collected under well-controlled conditions. However, its performance dete...

This report investigates issues of lexical coverage in Indian languages. More specifically, a parallel analysis of Out-of-Vocabulary words is made in Telugu and Tamil. Although generic, this study is focussed on understanding the morphological aspects in these languages as necessary for speech recognition. The observations reveal that morphological analysis and preprocessing can increase the le...

In this paper, we introduce two new methods for face recognition of frontal images. The methods combine the well known Karhunen-Loeve transform with morphological and subband analysis. The use of this kind of analysis contributes to better discrimination between different images. Morphological and subband approaches are compared while the former is a non linear method and the latter a linear on...

The paper presents a novel approach to the classification of binary image pixels which is based on mathematical morphology. The proposed method makes use of new operators of class extractors to extract from the original image pixels belonging to pre-defined classes. Classes consist of pixels characterized by particular morphological properties. In the paper, a general scheme of morphological cl...

We introduce a modification of the nonlinear morphological correlation for optical rotation-invariant pattern recognition. The high selectivity of the morphological correlation is conserved compared with standard linear correlation. The operation performs the common morphological correlation by extraction of the information by means of a circular-harmonic component of a reference. In spite of s...

This paper presents the first stochastic finite-state morphological parser for Turkish. The non-probabilistic parser is a standard finite-state transducer implementation of two-level morphology formalism. A disambiguated text corpus of 200 million words is used to stochastize the morphotactics transducer, then it is composed with the morphophonemics transducer to get a stochastic morphological ...