Int. J. Biom.Pub Date : 2020-06-09DOI: 10.1504/ijbm.2020.10029783
Ahmed A. K. Tahir, Steluta Anghelus
{"title":"An accurate and fast method for eyelid detection","authors":"Ahmed A. K. Tahir, Steluta Anghelus","doi":"10.1504/ijbm.2020.10029783","DOIUrl":"https://doi.org/10.1504/ijbm.2020.10029783","url":null,"abstract":"A novel method called refine-connect-extend-smooth (R-C-E-S) for detecting eyelids is presented. It consists of four algorithms, Canny edge detector with Prewitt operator, modified refine edge map (MREM), connect edges-extend (CEE) and smooth curve (SC). The method is not based on pre-assumptions that consider eyelids as parabola or lines and it does not use curve fitting algorithm, therefore sever deviation of the detected eyelid curve from the actual eyelid path is avoided. The method is applied to three types of database, CASIA-V1.0, CASIA-V4.0-Lamp and SDUMLA-HMT. The accuracies for detecting the lower eyelid, upper eyelid and free iris are (93.2%, 99.1%, 96.7%) for CASIA-V1.0, while for CASIA-V4.0-Lamp are (97.6%, 98.3%, 97.8%) and for SDUMLA-HMT are (95.1%, 95.3%, 96.92%). The processing times for detecting single eyelid, both eyelids and free iris are (42 ms, 49 ms, 35 ms) for CASIA-V1.0, while for CASIA-V4.0-Lamp are (23 ms, 26 ms, 21 ms) and for SDUMLA-HMT are (35 ms, 40 ms, 31 ms).","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"569 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122540329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Int. J. Biom.Pub Date : 2020-06-02DOI: 10.1504/ijbm.2020.10029785
Khadidja Kafi, A. Ali-Pacha, N. Hadj-Said
{"title":"New method for identification of persons using geometry foot outline","authors":"Khadidja Kafi, A. Ali-Pacha, N. Hadj-Said","doi":"10.1504/ijbm.2020.10029785","DOIUrl":"https://doi.org/10.1504/ijbm.2020.10029785","url":null,"abstract":"In this study we try to improve existing recognition rates using plantar surface of foot to extract 19 local geometrical features based on anatomical points and axes, in order to extract informations and relationships required to perform a biometric system for identifying individuals. Before the primary data collection, a pilot study was conducted to assess the precision of stature acquisition and foot measurements. A computer database has been constructed taking measurements from feet pictures of 102 volunteers using the measuring tool in Photofilter. Using the measurements with ±0.38 like error margin and searching through it shows that each foot is unique. This study also showed that each measurement parameter's has an identification percentage and the highest percentages were noted for the parallel and diagonal lengths measurements. To validate our database and our results we tried to study the relation between the stature and some foot measurements using a linear equation of regression.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128325753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Int. J. Biom.Pub Date : 2020-06-02DOI: 10.1504/ijbm.2020.10029782
Ali Muhamed Ali, H. Zhuang, Ali K. Ibrahim
{"title":"Multi-pose facial expression recognition using rectangular HOG feature extractor and label-consistent KSVD classifier","authors":"Ali Muhamed Ali, H. Zhuang, Ali K. Ibrahim","doi":"10.1504/ijbm.2020.10029782","DOIUrl":"https://doi.org/10.1504/ijbm.2020.10029782","url":null,"abstract":"In this paper, a new approach to the classification of facial expressions from multiple pose images is proposed. In this approach, a rectangular histogram of oriented gradient (R-HOG) algorithm is first designed to extract features of face images. The parameters of the R-HOG algorithm, which is a modification of the original HOG algorithm include cell shape, cell size, block size, and the number of orientation bins. The R-HOG is capable of capturing more discriminative texture features of different facial expressions. In addition, a supervised dictionary learning classifier, the label-consistent K-SVD (LC-KSVD) algorithm, is adopted to recognise the facial expression of the subject. To investigate its effectiveness, the proposed technique was applied to classify emotional states of the face images in the two public available facial expression datasets: KDFE and RafD. The experiment study showed that the new method outperformed in many aspects those methods reported in the literature tested with the same datasets. First, the new method handles pose variations better. Second, it is more robust in cases where the size of a training dataset is small. Finally, it's accuracy performance is more consistent measured by standard deviations.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114272456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Int. J. Biom.Pub Date : 2020-06-02DOI: 10.1504/ijbm.2020.10026196
Badreddine Griouz, R. Djemili, H. Bourouba, Hakim Doghmane
{"title":"A spatial pyramidal decomposition method for finger vein recognition using local descriptors","authors":"Badreddine Griouz, R. Djemili, H. Bourouba, Hakim Doghmane","doi":"10.1504/ijbm.2020.10026196","DOIUrl":"https://doi.org/10.1504/ijbm.2020.10026196","url":null,"abstract":"Finger vein patterns have been proved as one of the most promising biometric modality for its convenience and security. Most of the current available finger vein recognition methods utilise features from a segmented blood vessel network. This manner of processing however may not provide optimal recognition accuracies as reported in many studies. Therefore, this paper proposes in the feature extraction stage, the use of the spatial pyramid decomposition (SPD) method aiming at partitioning the finger vein images into increasingly fine subregions from which local texture descriptors are obtained. The descriptors adopted in this paper are local binary pattern (LPB), binarised statistical image feature (BSIF) and local phase quantisation (LPQ). The performance of the proposed approach evaluated on two publicly databases PolyU and SDUMLA achieves a recognition accuracy higher than that of some existing systems reported in the literature for both the SDUMLA and the PolyU databases.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129421956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Int. J. Biom.Pub Date : 2020-06-02DOI: 10.1504/ijbm.2020.10029795
A. Boualleg, M. Deriche, M. Sedraoui
{"title":"An improved Weber-face-based method for face recognition under uncontrolled illumination conditions","authors":"A. Boualleg, M. Deriche, M. Sedraoui","doi":"10.1504/ijbm.2020.10029795","DOIUrl":"https://doi.org/10.1504/ijbm.2020.10029795","url":null,"abstract":"The paper presents a new face recognition system robust to illumination variations and moderate occlusion. Two main contributions are discussed. First, we introduce an approach based on contrast equalisation (CE) to improve the traditional Weber-face (WF) technique and make it more robust. Second, we use the local binary patterns (LBP) and local phase quantisation (LPQ) descriptors to make the Weber-face method more resilient to variations in illumination by exploiting both spatial and frequency domains information. By combining the two descriptors, enhanced facial features are obtained showing more discriminating power for variable lighting conditions as well as occlusion. The concept of complementing the WF model with spatial-frequency descriptors is novel and shown to result in a robust system resilient to changing lighting conditions, variations in pose, and occlusion. The method was compared to a number of existing techniques over three public databases. The proposed algorithm outperformed existing techniques under challenging environments.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131538975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Int. J. Biom.Pub Date : 2020-02-26DOI: 10.1504/ijbm.2020.10027212
Dongbo Cao, Ying Guo
{"title":"Algorithm research of spoken English assessment based on fuzzy measure and speech recognition technology","authors":"Dongbo Cao, Ying Guo","doi":"10.1504/ijbm.2020.10027212","DOIUrl":"https://doi.org/10.1504/ijbm.2020.10027212","url":null,"abstract":"At present, many speech recognition algorithms are difficult to effectively evaluate the fuzziness of the evaluation algorithm. Based on this, this dissertation uses the speech recognition technology based on fuzzy measure to evaluate the spoken English. In the study the fuzzy measure, based on the traditional algorithm, is used to evaluate the spoken English and different characteristic parameters are extracted to construct the corresponding evaluation model. Simultaneously, the pronunciation is evaluated through automatic learning rules. The English speaking assessment model based on fuzzy measure and speech recognition technology is constructed and validated. The research shows that compared with the traditional algorithms, the spoken language evaluation algorithm based on fuzzy measure and speech recognition technology has the incomparable superiority, and can provide a reference for the follow-up related research.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129156398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Int. J. Biom.Pub Date : 2020-02-26DOI: 10.1504/ijbm.2020.10027199
W. He
{"title":"Research on the evaluation model of deep foundation pit supporting structures in urban traffic tunnels","authors":"W. He","doi":"10.1504/ijbm.2020.10027199","DOIUrl":"https://doi.org/10.1504/ijbm.2020.10027199","url":null,"abstract":"In order to improve the building mechanics performance of the foundation pit supporting structure of urban traffic tunnel and guide the engineering design and construction, the evaluation model of the deep foundation pit supporting structure of urban traffic tunnel is proposed based on mechanical anchoring and linear mechanical loading. The mechanical anchoring method is used to load the support structure of deep foundation pit of urban traffic tunnel. The constitutive relation of dynamic node of deep foundation pit supporting structure of urban traffic tunnel under moving load is constructed, and the tangent elastic modulus of supporting structure of deep foundation pit of tunnel is calculated according to equivalent stress-strain relation. Thus, the mechanical evaluation and optimisation design of deep foundation pit supporting structure of urban traffic tunnel are realised. The test results show that the mechanical loading performance of the model is good for the design of the deep foundation pit supporting structure of urban traffic tunnel, and the load capacity of the supporting structure is improved, and the engineering design of the foundation pit supporting structure is optimised.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"515 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116209776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Int. J. Biom.Pub Date : 2020-02-26DOI: 10.1504/ijbm.2020.10027200
Zhixue Wang, Kai Kang
{"title":"Research on educational informatisation platforms based on Web 2.0","authors":"Zhixue Wang, Kai Kang","doi":"10.1504/ijbm.2020.10027200","DOIUrl":"https://doi.org/10.1504/ijbm.2020.10027200","url":null,"abstract":"Educational informatisation is an important part of national informatisation strategy. The realisation of educational informatisation plays a fundamental, global and lasting role in social development. The advent of the Web 2.0 era has injected new impetus into the development of network education. Web 2.0 has the characteristic of personalisation, decentralisation, openness, interactivity, and sociality. It corresponds to the educational idea advocated by modern educational theory. Through the method of literature analysis, this paper collates and think about the current educational application research under the Web 2.0, and finally through specific case analysis and comparison to verify the views and draw conclusions and provide reference for the future research of Web 2.0 and educational informatisation platform.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132127979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Int. J. Biom.Pub Date : 2020-02-26DOI: 10.1504/ijbm.2020.10027203
Cuiping Yao
{"title":"Research on logistics distribution path analysis based on artificial intelligence algorithms","authors":"Cuiping Yao","doi":"10.1504/ijbm.2020.10027203","DOIUrl":"https://doi.org/10.1504/ijbm.2020.10027203","url":null,"abstract":"Logistics distribution path optimisation model design is the key to ensure the smooth flow of logistics distribution path network, the logistics distribution path optimisation is designed to improve the efficiency of logistics distribution, a logistics distribution path optimisation model is proposed based on artificial intelligence algorithm. A logistics distribution path search model based on rough set theory is established. Ant colony search method is used to design the artificial intelligence algorithm of logistics distribution path optimisation. Adaptive weighting method is used to extract and schedule the information of logistics distribution path, and the shortest path optimisation method is used to optimise the route planning of logistics distribution, which can reduce the path overhead and time cost of logistics distribution. The efficiency of logistics distribution is improved. The simulation results show that this method is used to construct the logistics distribution path model, which reduces the time cost and the road cost of the logistics distribution, and improves the throughput of the logistics distribution significantly.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129004088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Int. J. Biom.Pub Date : 2020-02-26DOI: 10.1504/ijbm.2020.10027197
Yongqiu Liu
{"title":"Linearisation control of AC permanent magnet synchronous motor servo system based on sensor technology","authors":"Yongqiu Liu","doi":"10.1504/ijbm.2020.10027197","DOIUrl":"https://doi.org/10.1504/ijbm.2020.10027197","url":null,"abstract":"AC permanent magnet synchronous motor servo control system is a complex nonlinear, strong coupling and time-varying system. It has strong uncertainty and nonlinearity, and when the system is running, it also will be disturbed to varying degrees, so the conventional control strategy is difficult to meet the control requirements of high accuracy, high speed and high-performance servo system. This paper adopts a direct feedback linearisation control strategy based on sensor technology and uses, as the output of the system to realise the decoupling of the system. In addition, the grey prediction is added to overcome the shortcomings of direct feedback linearisation that is sensitive to parameters. Adjusting the uncertain factors block by grey prediction to adapt to the direct feedback linearisation rule and achieve the desired effect. MATLAB/Simulink is used to complete the simulation of servo control algorithm. The simulation results show that the direct feedback linearisation control is better than the conventional PID control, and the direct feedback linearisation control algorithm with grey prediction can improve the performance of the permanent magnet synchronous motor servo control system and can meet the basic requirements of the high-performance servo control system.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127233024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}