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Leaf recognition is convenient for plant classification and it is an important subfield of pattern recognition. Different leaf features such as color, shape and texture are used as well as different classifiers including artificial neural networks, k-nearest neighbor and support vector machines. In this paper we propose an algorithm based on tuned support vector machine as a classifier and Hu moments...
Deep learning has shown to be very effective in variety of applications including image classification and object recognition. In this paper we use deep autoencoder for compact shape representation learning and image retrieval. In this method the autoencoder is a 4-layer coding network, and the original shape images after scale normalization are used to pre-train the autoencoder in an unsupervised...
In the context of tree species recognition, botanists knowledge was used in different works specially when recognising tree species through leaves. In this paper, two sub-classification strategies for tree species recognition are proposed. For each sub-classification strategy, Basic belief assignment (Bba) was determined and obtained data were fused thanks to a totally adaptive fusion system implemented...
Gait recognition is nowadays an important biometric technique for video surveillance tasks, due to the advantage of using it at distance. However, when the upper body movements are unrelated to the natural dynamic of the gait, caused for example by carrying a bag or wearing a coat, the reported results show low accuracy. With the goal of solving this problem, we apply persistent homology to extract...
As an emerging issue, multi-script signature verification is a recent challenge for current Automatic Signature Verification (ASV) systems. Relevant differences are presented in the morphology and lexicon of the signature images written in different scripts, such as used symbols, shape of the signatures, legibility, etc. These peculiarities could reduce the success of ASV systems, especially those...
Colour, texture, shape, and relative position descriptors are fundamental visual descriptors. In particular, a relative position descriptor is a quantitative representation of the relative position of two spatial objects, and a basis from which models of spatial relationships (like inside, above, around, near) can be derived. The affine properties of visual descriptors have been the subject of much...
A fuzzy string matching approach is proposed to solve the pattern recognition problems in this paper. The edit cost is presented as a fuzzy number. The string matching problem with fuzzy edit cost was then equivalent to a shortest path problem with fuzzy weights. By ranking the fuzzy numbers, the object is classified as the reference object that has the minimum fuzzy distance. Some testing objects...
Object recognition in digital images are carried out using syntactic or spectral domain pattern recognition techniques. Due to ever increasing size of data collected by digital image acquisition systems there is a need to go in for developing faster, reliable and intelligent pattern recognition methods which would mostly supplement human intelligence in recognizing objects which otherwise remain latent...
Hand shape classification is an important problem for the human computer interaction and the finger-spelling recognition. For this matter, what is needed is a real-time processing and scale invariance. To this end, we propose a feature vector for hand shape classification, which is fast, and robust to scale. The proposed method calculates an adaptive k-curvature which computes a curvature depending...
We first make some considerations on the biological phenomenon of camouflage as a biological control adaptive process and discuss possible approaches for its mathematical modeling. We then focus on applications to interactive media using a simplified approach in which an L-system is imitated by means of a Markov chain. This model is implemented with computational vision and multichannel spatialization...
The present work demonstrates a novel scheme for recognising Bengali handwritten consonants by exploring the primitive set of strokes that construct the characters. The Bengali consonants are first manually analysed in order to decompose them into their constituent pattern primitives. Once an exhaustive list of such primitives are prepared, a scheme based on mathematical morphology is devised to identify...
The skeleton is an efficient and complete shape descriptor often used for matching. However, existing skeleton-based shape matching methods are computationally intensive. To reduce the algorithmic complexity, we propose to exploit the natural hierarchy of the skeleton. The aim is to quantify the importance of skeleton branches to guide the shape matching algorithm, in order to match branches having...
We propose a novel multi-scale shape descriptor for shape matching and object recognition. The descriptor includes three types of invariants in multiple scales to capture discriminative local and semi-global shape features and the dynamic programming algorithm is employed for shape matching. The experimental results verify that our proposed shape feature is invariant to translation, rotation, scaling,...
A method of axis orbit analysis based on LabVIEW is researched in order to recognize the fault of rotating machinery. A rotor fault diagnosis system including a fault simulation platform, a set of testing devices and a signal analysis program is developed. The signal analysis program can be used to realize some functions such as data acquisition, signal analysis, processing and display, pattern recognition...
PORE stands for Photo-Object Recognition based on the Edges. Coincidentally, PORE means to examine something carefully and with due attention, so "we pore over the object layers in search for information about their characteristics with the aim at improving image recognition process". Therefore, this study presents a novel approach to object recognition based on the pattern by using photo...
Computer-aided diagnosis system automatically analyze skin lesions, and reduces the amount of repetitive and boring tasks carried out by the doctor. The full model of an automated system includes three important stages in order to comply with the lesion analysis : segmentation, feature extraction and classification. The data-set contains images and annotations provided by physicians. Segmentation...
As medicine, herbal plants have been widely used since ancient times, and are still used today. There are various types of herbal plants that can be used as medicine but due to the limited ability of communities to recognize the type of plants and the lack of information, both cause the limited use of plants as medicine. In this research, an herbal plants identification system based on leaves pattern...
This paper presents a new edge based local feature descriptor, for age group recognition, named Positional Ternary Pattern (PTP). PTP code inherits the craniofacial shape, along with wrinkle and micro texture pattern, which proves its preeminence in aging process.
This article presents a novel recognizable spectrum sensing algorithm. This algorithm is the perception spectrum waterfall features for image pattern recognition algorithm, it referred to the pattern shape recognition algorithm. This algorithms has occurred band spectrum waterfall uncertain state of the spectrum width and the length of time by machine self-learning, and to establish the pattern shape...
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