Joint multi-type feature learning for multi-modality FKP recognition

Yang, Yeping; Fei, Lunke; Alshehri, Adel Homoud; Zhao, Shuping; Sun, Weijun; Teng, Shaohua

doi:10.1016/j.engappai.2023.106960

Cited by 2 publications

(1 citation statement)

References 29 publications

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“…In the manufacturing field, feature recognition is a method to obtain geometric shapes or parameter sets with certain engineering significance from the CAD model of parts [12][13][14], which mainly includes pattern recognition methods based on rules and graphs, voxel recognition methods based on topological relations, and information recognition methods based on processing units [15][16][17][18]. Different recognition methods are used for different recognition purposes.…”

Section: Introductionmentioning

confidence: 99%

Research on and Application of Feature Recognition and Intelligent Retrieval Method for Multi-Component Alloy Powder Injection Molding Gear Based on Partition Templates

Kong,

Cui,

Zhang

et al. 2024

Metals

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The forming process of multi-alloy gears by metal powder injection molding is tedious, and the current design process mainly depends on the experience of designers, which seriously affects the product development cycle and forming quality. In order to solve the problem of the gear feature expression being missing, which hinders the automatic retrieval of similar parts in the analogical design process, a feature recognition and intelligent retrieval method for a multi-alloy powder injection molding gear based on partition templates is proposed in this paper. The partition templates of the gear are defined, and gear digitization is completed by using the automatic recognition algorithm. Searching for similar gear parts in the knowledge base, designers can analogically design the forming process for new parts according to the mature process of the parts in the knowledge base. The automatic identification and intelligent retrieval system developed according to this method has been implemented in two MIM (metal injection molding) product manufacturing enterprises. Case studies and industrial applications have proved the effectiveness of the system, the efficiency of identification and retrieval has been improved by more than 97%, and the number of mold tests has been reduced by 60%.

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Section: Introductionmentioning

confidence: 99%

Research on and Application of Feature Recognition and Intelligent Retrieval Method for Multi-Component Alloy Powder Injection Molding Gear Based on Partition Templates

Kong,

Cui,

Zhang

et al. 2024

Metals

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Sparse representation of finger knuckle print images for personal identification

Charfi,

Tounsi,

Solaiman

2024

Concurrency and Computation

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SummaryFraud keeps increasing in our society and security applications become crucial and needed in our daily life. Biometric technology attempts to stop fraud and falsification in different opportunities such as bank services, access to controlled areas or crossing frontiers, by recognizing the identity of a person using his physiological (fingerprint, iris, face) or behavioral modalities (gait, signature). In this article, we focus on an emerging biometric modality called the finger knuckle print (FKP). In fact, this modality has several advantages such as the easy distinction between different persons, stability over time and user acceptance. So, an FKP identification approach is proposed using scale invariant feature transform descriptors based sparse representation method. The classification step, between training and testing FKP samples, is made using the support vector machines method. Experiments applied on two public FKP databases: The Hong Kong Polytechnic University (PolyU) Contactless Finger Knuckle Images Database and the Indian Institute of Technology Delhi (IITD) Finger Knuckle Database, containing respectively 2500 and 790 images, demonstrate high correct identification rates by reaching 98.58% and 99.15% for these two databases.

show abstract

Joint multi-type feature learning for multi-modality FKP recognition

Cited by 2 publications

References 29 publications

Research on and Application of Feature Recognition and Intelligent Retrieval Method for Multi-Component Alloy Powder Injection Molding Gear Based on Partition Templates

Research on and Application of Feature Recognition and Intelligent Retrieval Method for Multi-Component Alloy Powder Injection Molding Gear Based on Partition Templates

Sparse representation of finger knuckle print images for personal identification

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