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Forest stands are a basic unit of analysis for forest inventory and mapping. Stands are defined as large forested areas of homogeneous tree species composition and age. Their accurate delineation is usually performed by human operators through visual analysis of very high resolution (VHR) infra-red and visible images. This task is tedious, highly time consuming, and needs to be automated for scalability...
Handwritten text in any language is believed to convey a great deal of information about writers' personality and identity. Handwritten documents are frequently used as evidences in forensic tasks. Handwriting skills is learnt and developed from the early schooling stages. Research interest in behavioral biometrics was the main driving force behind the growth in research into Writer Identification...
The aim of this paper is to develop a system that involves character recognition of Brahmi, Grantha and Vattezuthu characters from palm manuscripts of historical Tamil ancient documents, analyzed the text and machine translated the present Tamil digital text format. Though many researchers have implemented various algorithms and techniques for character recognition in different languages, ancient...
Iris recognition is the most reliable and accurate biometric identification system. Iris recognition system captures an image of an individual's eye, the iris in the image is segmented and normalized for extracting its feature. The performance of iris recognition systems depends on the process of segmentation of iris form the eye image. Segmentation is the most important part in iris recognition process...
Periocular biometrics has been established as an independent modality due to concerns on the performance of iris or face systems in uncontrolled conditions. Periocular refers to the facial region in the eye vicinity, including eyelids, lashes and eyebrows. It is available over a wide range of acquisition distances, representing a trade-off between the whole face (which can be occluded at close distances)...
This paper deals with the classification and segmentation of seafloor images recorded by sidescan sonar. To address this problem, related to texture analysis, a supervised approach is considered. The features of the textured images are extract by characterizing the wavelet coefficients through parametric probabilistic models. In this contribution, the generalized Gaussian distribution and the α-stable...
In this paper, a segmentation method of the retinal images exudates is proposed. First, pixels that belong to exudates are located using the scale-space extrinsic curvature. These candidate points, are used together with the mean curvature to select possible exudates patches. True exudates are selected using the local maxima blob response through dynamical threshold, which will represent the final...
For personal identification the use of fingerprint identification systems is mostly common. First step for an Automated Fingerprint Identification System (AFIS) is the segmentation of fingerprint from the acquired image. Extraction of region of interest (ROI) from the desired fingerprint impression is the main purpose of segmentation. In this paper, we present a new technique for fingerprint segmentation...
This paper comes within the framework of designing a recognition system of mathematical symbols. Through this, we first recall the general process of recognition of mathematical symbols while focusing on the description of our method for segmentation of offline mathematical symbols. Our goal is to detect, extract and segment the different symbols of mathematical expression. This expression will be...
Optical Character Recognition techniques for printed and handwritten text are quite different. Therefore, before any further document preprocessing, it is necessary to separate these text types. A fundamental step for this separation is the segmentation. In this paper we address the problem of segmentation these documents into words. The proposed system was tested in two public image databases. Many...
Medieval manuscript layouts are quite complex. They contain textual elements such as insertions, annotations, and corrections. They may be richly decorated with ornaments, illustrations, and decorative initials making their layout even more complex. In this paper we describe a semi-automatic tool which annotates medieval manuscripts using our generic format. This format allows to represent the physical...
We present a meta-learning framework for the design of potential functions for Conditional Random Fields. The design of both node potential and edge potential is formulated as a classification problem where margin classifiers are used. The set of state transitions for the edge potential is treated as a set of different classes, thus defining a multi-class learning problem. The Error-Correcting Output...
Pattern matching is a technique in which the location of a particular place is found by comparing its raw image with the image present in the database. It is used to check the presence of certain structure in an image. It is done between the reference image and database images sequentially pixel by pixel. Today's applications require more of georefrencing techniques like GIS and other geographic control...
Recent advancements of 3D computer graphics hardware systems have made possible the handling of 3D volumetric data, and the amount of the available data has increased for various scientific fields. This paper proposes a pattern feature extraction method for 3D volumetric data. Pattern features are important for systems which require segmentation and classification. In this paper, the laws texture...
The need for sensor interoperability has increased tremendously in many fingerprint large-scale application areas such as e-commerce, welfare-disbursement and e-education. However, the problem of feature selection for sensor interoperability has received limited attention in the literature. In this paper, the relationships among person, sensor and feature are discussed. Especially, a feature selection...
In this paper we present a new method for off-line Chinese signature verification. The approach is based on feature extraction of every segment segmented from the signature image. After preprocessed and segmented, the signature image is segmented to some segments. Every segment is represented by a set of seven features. By using these segments and its features, the degree of similarity between the...
Recent improvements of fetal MRI acquisitions now allow three-dimensional segmentation of fetal structures, to extract bio-metrical measures for pregnancy follow-up. Automation of the segmentation process remains a difficult challenge, given the complexity of the fetal organs and their spatial organization. As a starting point, we propose in this paper a fully automated segmentation method to localize...
Color is a rich and complex experience, usually caused by the vision system responding differently to different wavelengths of light (other causes include pressure on the eyeball and dreams). Color of object can play an important role in recognizing that object from the image. Different kinds of color spaces have been established and studied in the past for image retrieval. In this paper also we have...
Iris recognition is a proven, accurate means to identify people. In this paper, it includes the preprocessing system, segmentation, feature extraction and recognition. Especially it focuses on image segmentation and statistical feature extraction for iris recognition process. The performance of iris recognition system highly depends on segmentation. For instance, even an effective feature extraction...
This paper focuses on a new iris identification method based on a local analysis of the iris texture. In the method, the iris is divided in sub-regions, using locally sliding windows, to extract local signatures. Local distances are then calculated and fused, based on a weighting average. The sliding allows to compensate for local distortions due to segmentation imprecision. The applied weights take...
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